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Review

Herbal Neurotherapeutics for Cognitive Disorders: Integrative Mechanisms Linking Neurotransmitter Systems, Neurodegeneration, and the Gut-Brain Axis

1
Department of Pathology, College of Korean Medicine, Kyung Hee University, Seoul 02453, Republic of Korea
2
Department of Pharmacy, Northern University Bangladesh, Dakshinkhan, Dhaka 1230, Bangladesh
3
Department of Microbiology, Quaid-i-Azam University, Islamabad 45320, Pakistan
4
Korean Medicine-Based Drug Repositioning Cancer Research Center, College of Korean Medicine, Kyung Hee University, Seoul 02447, Republic of Korea
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Nutrients 2026, 18(11), 1796; https://doi.org/10.3390/nu18111796 (registering DOI)
Submission received: 28 April 2026 / Revised: 29 May 2026 / Accepted: 30 May 2026 / Published: 2 June 2026
(This article belongs to the Special Issue Dietary Factors and Interventions for Cognitive Neuroscience)

Abstract

Cognitive disorders, including Alzheimer’s disease, Parkinson’s disease, schizophrenia, depression, and vascular dementia, are associated with dysregulation of neurotransmitter systems, including acetylcholine, dopamine, serotonin, glutamate, and γ-aminobutyric acid (GABA). These disorders are increasingly recognized as multifactorial conditions involving oxidative stress, neuroinflammation, mitochondrial dysfunction, synaptic impairment, blood–brain barrier disruption, metabolic imbalance, and gut–brain axis dysregulation. Current pharmacological therapies may provide symptomatic relief; however, their clinical benefits are often limited and associated with adverse effects. Herbal medicines have gained increasing attention as potential complementary approaches for cognitive support and neuroprotection. Preclinical evidence and emerging clinical studies suggest that herbal bioactive compounds may exert neuroprotective effects through antioxidants, anti-inflammatory, and neurotransmitter-modulating mechanisms. Medicinal herbs such as Bacopa monnieri, Withania somnifera, Ginkgo biloba, Glycyrrhiza glabra, Moringa oleifera, and ginseng have shown potential cognitive benefits in experimental models and selected human studies. Advanced delivery systems, including nanoparticles and phytosomes, may further improve the bioavailability and brain-targeting efficiency of herbal compounds. However, current clinical evidence remains heterogeneous and limited by insufficient standardization, small sample sizes, and short study durations. Further large-scale clinical studies and standardized safety assessments are essential before herbal neurotherapeutics can be widely applied in cognitive and neurological disorders.

1. Introduction

Concerns have arisen due to the increasing longevity of the elderly population, as many individuals now spend a substantial portion of their lives coping with age-related illnesses. Pathological cognitive decline is one of the most challenging conditions regarding personal impact and economic cost. Approximately one-third of individuals in the United States aged 85 years and above are affected by Alzheimer’s disease (AD), which remains a leading cause of pathological cognitive decline [1,2]. As global life expectancy increases, the incidence of age-associated neurological disorders is expected to rise substantially [3,4]. Cognitive impairment in the elderly is characterized by memory loss, learning challenges, and a decline in focus. This includes dementia and minor impairments that are not clinically evident [5]. These impairments may result from stroke, vascular dysfunction, neurodegeneration, or metabolic disturbances [6]. Individuals with cognitive impairment often experience reduced quality of life and increased risk of dementia and premature mortality [7,8].
The burden of dementia is increasing worldwide, currently affecting nearly 55 million people, with projections reaching 132 million cases by 2050 [9]. Reported prevalence estimates vary across Asian populations depending on diagnostic criteria and study design. For example, the prevalence of mild cognitive impairment (MCI) was 12.5% among older Singaporean Chinese adults, whereas cognitive impairment prevalence was 21.48% among older adults in Hunan Province, China [10,11]. A preliminary meta-analysis of community-dwelling older adults reported an overall pooled prevalence of 17.3%, although diagnostic criteria varied among included studies [12].
A preliminary meta-analysis of community-dwelling older adults reported an overall pooled prevalence of 17.3%, although diagnostic criteria varied among included studies [12].
Several biological mechanisms contribute to cognitive decline, including oxidative stress, mitochondrial dysfunction, intracellular calcium dysregulation, neuroinflammation, and neurotransmitter imbalance [13]. While amyloid-β accumulation has long been considered central to AD pathology, increasing evidence suggests that amyloid burden alone does not fully explain disease severity or progression [14,15,16]. Other mechanisms such as tau hyperphosphorylation, synaptic dysfunction, cholinergic deficits, mitochondrial dysfunction, and chronic neuroinflammation are also critically involved [17,18,19,20].
Enhancement of cognitive functioning is defined as amplification of fundamental mental capacities through improved internal and external information processing systems [21]. Cognitive enhancement can be achieved pharmacologically through cognitive enhancers [22], or non-pharmacologically through lifestyle-related factors such as regular physical activity, mental stimulation, adequate sleep, and balanced nutrition [23]. These non-pharmacological strategies may support general brain health and cognitive resilience; however, they are only briefly mentioned here as the present review primarily focuses on herbal neurotherapeutic approaches for cognitive disorders and their underlying mechanisms.
Emerging evidence also highlights the importance of the microbiota–gut–brain axis in cognitive health and neurodegenerative disorders. Gut microbiota can influence the synthesis and metabolism of key neurotransmitters such as serotonin, dopamine, and γ-aminobutyric acid (GABA), thereby modulating brain function and behavior [24,25,26]. Dysbiosis of the gut microbiome may promote systemic inflammation and increase intestinal permeability, allowing pro-inflammatory mediators such as lipopolysaccharides to enter circulation and subsequently impair blood–brain barrier integrity and central nervous system homeostasis [27,28]. Furthermore, microbial metabolites, particularly short-chain fatty acids (SCFAs) such as butyrate, propionate, and acetate, play a crucial role in regulating neuroinflammation, oxidative stress, epigenetic modulation, and synaptic plasticity [29,30,31]. Alterations in gut microbial composition have been increasingly associated with neurodegenerative disorders such as Alzheimer’s disease and Parkinson’s disease, as well as age-related cognitive decline [32,33].
Pharmacological strategies for cognitive impairment remain limited in efficacy and are frequently associated with adverse effects. Consequently, increasing attention has focused on herbal medicines and plant-derived bioactive compounds as multi-target therapeutic approaches capable of modulating oxidative stress, inflammation, neurotransmission, and neuronal survival.
The novelty of this review lies in its integrative framework linking neurotransmitter systems, neurodegenerative pathology, herbal neurotherapeutics, and the gut–brain axis within a single comprehensive model. Unlike previous reviews that address these topics separately, this article highlights how herbal interventions may simultaneously regulate central neurotransmission, peripheral metabolic pathways, neuroinflammation, and gut microbiota interactions to support cognitive health. This review therefore aims to summarize the mechanistic roles of herbal medicines in cognitive disorders, with particular emphasis on Alzheimer’s disease, Parkinson’s disease, depression-related cognitive dysfunction, and emerging gut–brain interactions.

2. Methods

The present study is a narrative review aimed at synthesizing current knowledge regarding the potential role of herbal neurotherapeutics in cognitive and neurological disorders, including Alzheimer’s disease, Parkinson’s disease, schizophrenia, depression, and vascular dementia. To maintain a structured approach while preserving the narrative scope of the review, a comprehensive literature search strategy was applied across different sections of the manuscript. A literature search was conducted using electronic databases including PubMed and Google Scholar. References were managed using EndNote X9 (Clarivate Analytics, Philadelphia, PA, USA). The search strategy utilized combinations of keywords and Medical Subject Headings (MeSH) terms, including “herbal medicine”, “cognitive impairment”, “Alzheimer’s disease”, “oxidative stress”, “neuroinflammation”, “gut–brain axis”, “nanoparticles”, and the names of medicinal herbs such as Bacopa monnieri, Withania somnifera, Ginkgo biloba, Panax ginseng, Glycyrrhiza glabra, and Moringa oleifera.
The literature search included peer-reviewed articles published in English. No strict publication restriction was applied in order to include both classical foundational studies and recent advances relevant to herbal neurotherapeutics and cognitive disorders. Both preclinical and clinical studies were considered; however, greater emphasis was placed on randomized controlled trials, systematic reviews, meta-analyses, and clinically relevant human studies where available. Studies discussing mechanisms of action, therapeutic effects, safety concerns, herb–drug interactions, hepatotoxicity, formulation strategies, and translational limitations were included to provide a balanced overview of the field. Where available, studies reporting neutral, conflicting, or safety-related findings were also considered. Furthermore, manual screening of reference lists from relevant review articles and clinical studies was performed to identify additional pertinent publications not captured during the initial database search.

3. Neurotransmitter Interaction and Cognitive Functions

Neurotransmitters are chemical messengers that regulate communication between neurons and play essential roles in cognition, memory, emotion, learning, and behavior [34]. Proper neurotransmitter balance is critical for maintaining normal brain function, synaptic plasticity, and neuronal survival. Dysregulation of neurotransmitter systems contributes to the development of several neuropsychiatric and neurodegenerative disorders, including Alzheimer’s disease (AD), Parkinson’s disease (PD), schizophrenia, depression, and vascular dementia [35,36]. Major neurotransmitters involved in cognitive regulation include acetylcholine, dopamine, glutamate, serotonin, and γ-aminobutyric acid (GABA) [37]. Alterations in these signaling pathways may impair neuronal communication and contribute to progressive cognitive dysfunction [38]. Therefore, understanding neurotransmitter-associated mechanisms remains important for the development of pharmacological and herbal therapeutic strategies targeting cognitive impairment and neurodegeneration.

Neurotransmitters and Central Neurocognitive Abnormalities

Neurotransmitter imbalance is closely associated with cognitive impairment and central nervous system disorders [39,40]. Disruption of cholinergic, dopaminergic, glutamatergic, serotonergic, and GABAergic signaling pathways contributes to synaptic dysfunction, impaired neuronal plasticity, and progressive neurodegeneration [41,42,43]. Different neurotransmitter systems are implicated in distinct neurological and psychiatric disorders. Cholinergic dysfunction is strongly associated with memory impairment in AD, whereas dopaminergic degeneration contributes to motor and cognitive dysfunction in PD. Similarly, glutamatergic and GABAergic dysregulation are involved in schizophrenia, depression, and vascular cognitive impairment [43]. Because neurotransmitter alterations are central to disease pathogenesis, these pathways represent important therapeutic targets for both conventional pharmacological interventions and emerging herbal neurotherapeutics.

4. Disease-Related Cognitive Impairment

4.1. Cognitive Impairment in Degenerative Brain Disease

Alzheimer’s disease (AD) is the most common form of dementia and is strongly associated with ageing and genetic susceptibility. It is characterized by progressive degeneration of hippocampal and cortical neurons, leading to memory loss, executive dysfunction, and behavioral impairment [44,45]. The core issue involves neuronal dysfunction and the destruction of synapses in the hippocampus, cortex, and subcortical regions. This degeneration leads to significant atrophy in the afflicted areas, causing memory loss, mood swings, problems with executive function, trouble acquiring new knowledge, and the inability to conduct activities of daily living. This disorder is expected to affect 115.4 million people worldwide by 2050 [46] and represents one of the leading causes of death globally [47].
Mild cognitive impairment (MCI) represents an early clinical stage of AD, with approximately 10% of patients progressing annually to AD [48]. The pathological hallmark of AD involves amyloid-β (Aβ) deposition, tau hyperphosphorylation, synaptic dysfunction, and neuroinflammation. These processes converge to disrupt neuronal communication and network integrity, particularly in memory-associated brain regions. Importantly, AD pathogenesis is now understood as a multifactorial process in which protein aggregation interacts with metabolic stress, inflammatory signaling, and cellular dysfunction rather than a single causal pathway.

4.1.1. Etiology of Alzheimer’s Disease

Aging remains the strongest risk factor for AD and is associated with progressive structural and functional brain changes, including synaptic loss, ventricular enlargement, and reduced brain volume. These changes are accompanied by metabolic and vascular alterations that contribute to increased vulnerability to neurodegeneration [49,50,51,52,53]. The classical amyloid cascade hypothesis describes Aβ accumulation as a central driver of disease progression, accompanied by tau pathology, synaptic failure, and neuronal loss. Aβ is generated through sequential cleavage of amyloid precursor protein (APP) by β- and γ-secretases, leading to oligomer formation that exerts neurotoxic effects on synapses [54,55,56]. As shown in Figure 1, these pathological features collectively contribute to progressive neuronal dysfunction and cognitive decline in AD.
Beyond these classical mechanisms, growing evidence supports a broader pathogenic network in AD. Oxidative stress, mitochondrial dysfunction, and neuroinflammatory activation are closely interconnected and collectively contribute to neuronal injury and Aβ accumulation [59,60]. Excessive ROS production, impaired mitochondrial energy metabolism, and glial activation amplify synaptic dysfunction and blood–brain barrier (BBB) disruption, thereby accelerating disease progression [61,62], Moreover, APP metabolism and secretase activity are influenced by oxidative membrane damage, further linking metabolic stress to amyloid pathology. Although the temporal sequence of these events remains debated, it is widely accepted that AD results from a dynamic interaction between protein aggregation and cellular stress pathways rather than a linear cascade [50,63].
In addition to amyloid-β accumulation and tau hyperphosphorylation, Alzheimer’s disease is now recognized as a multifactorial disorder involving several emerging pathogenic mechanisms. Ferroptosis, an iron-dependent form of regulated cell death characterized by lipid peroxidation, has been increasingly implicated in neuronal loss in Alzheimer’s disease [64,65]. Impairment of autophagic and lysosomal pathways further contributes to the accumulation of misfolded proteins and defective cellular clearance mechanisms [66,67]. Neurovascular dysfunction, including blood–brain barrier disruption and reduced cerebral blood flow, also plays a critical role in disease progression [68,69]. In addition, insulin resistance within the central nervous system, often described as “type 3 diabetes,” has been associated with impaired glucose metabolism and cognitive decline [70,71]. Furthermore, epigenetic regulation, including DNA methylation, histone modifications, and non-coding RNA-mediated mechanisms, has emerged as an important modulator of gene expression in Alzheimer’s pathology [72,73]. Collectively, these mechanisms highlight the complex and heterogeneous nature of Alzheimer’s disease beyond the classical amyloid cascade hypothesis.

4.1.2. Acetylcholine and Alzheimer’s Disease

The cholinergic hypothesis of AD emerged in the 1970s following evidence of reduced choline acetyltransferase (ChAT) activity in the neocortex, indicating impaired acetylcholine (ACh) synthesis [74]. ACh deficiency is one of the most consistent neurochemical alterations in AD and is closely linked to cognitive decline.
Degeneration of basal forebrain cholinergic neurons, particularly in the nucleus basalis of Meynert, leads to reduced cholinergic projections to the cortex and hippocampus. This disruption contributes to impaired synaptic signaling and progressive cognitive dysfunction [75,76]. Acetylcholinesterase (AChE) regulates synaptic ACh levels by enzymatic degradation. Increased AChE activity reduces cholinergic transmission and worsens cognitive deficits. Therefore, AChE dysfunction is directly associated with disease progression [77]. Although amyloid-β and tau-targeted therapies have shown limited clinical success, cholinergic dysfunction remains a validated therapeutic target in AD. Current symptomatic treatments aim to enhance cholinergic signaling and improve cognitive performance in mild to moderate stages of the disease [78].

4.1.3. Cholinergic System-Targeting Drug in Alzheimer’s Disease

The cholinergic system plays a central role in learning, memory, and cortical network activity. Acetylcholine is synthesized by choline acetyltransferase using choline, acetyl-CoA, and ATP as substrates [79]. It acts as a key modulator of synaptic transmission and neuronal communication. In the central nervous system, cholinergic signaling regulates synaptic plasticity and supports cognitive processing. Reduced cholinergic tone is strongly associated with memory impairment and neurodegeneration in AD [80].
Acetylcholine is rapidly degraded by acetylcholinesterase (AChE). Therefore, inhibition of AChE increases synaptic ACh availability and enhances cholinergic transmission. This mechanism forms the basis of current symptomatic therapies for AD [81]. Cholinesterase inhibitors, including donepezil, rivastigmine, galantamine, and tacrine, are widely used in clinical practice. These agents may provide modest improvement in cognitive and behavioral symptoms; however, they do not prevent disease progression [82].
Overall, cholinergic enhancement remains one of the most established pharmacological strategies for symptomatic management of AD. Current therapeutic approaches primarily focus on symptomatic relief and slowing disease progression. Clinically approved pharmacological treatments include cholinesterase inhibitors such as donepezil, rivastigmine, and galantamine, which improve cholinergic neurotransmission and may provide modest benefits in cognition and daily functioning [83,84]. Memantine, an N-methyl-D-aspartate (NMDA) receptor antagonist, is commonly prescribed for moderate-to-severe AD and may help reduce excitotoxic neuronal injury [85].
More recently, anti-amyloid monoclonal antibodies targeting amyloid-β pathology have emerged as potential disease-modifying therapies in selected patient populations, although concerns regarding cost, accessibility, imaging abnormalities, and long-term efficacy remain under investigation [86,87]. In addition to pharmacological interventions, non-pharmacological approaches including cognitive rehabilitation, physical activity, sleep optimization, vascular risk reduction, and caregiver-centered support also play important roles in comprehensive AD management [88]. Although herbal neurotherapeutics have shown potential neuroprotective and cognitive-supportive effects in experimental and selected clinical studies, the current evidence remains heterogeneous and insufficient to replace established therapies. Therefore, further large-scale, standardized clinical investigations are required to validate their long-term efficacy and safety [89].

4.1.4. Acetylcholinesterase Inhibitors

Cholinesterase inhibitors represent the primary symptomatic pharmacological treatment for AD. These agents do not alter disease progression, but they improve cognition and behavioral symptoms [90]. This effect is achieved through enhancement of cholinergic neurotransmission via inhibition of AChE and, in some cases, butyrylcholinesterase (BuChE) [91,92]. Cholinergic dysfunction in AD is closely associated with memory impairment and attentional deficits, making this pathway a key symptomatic therapeutic target [93]. Clinically approved AChE inhibitors include tacrine, donepezil, rivastigmine, and galantamine [90,94,95,96]. These agents provide modest symptomatic benefit in mild to moderate AD, mainly improving memory, attention, and daily functioning, but do not prevent neurodegeneration [97,98].
Donepezil is a widely used first-line therapy due to its favorable tolerability and once-daily dosing [99]. Rivastigmine inhibits both AChE and BuChE and is also used in PD and dementia [100]. Galantamine additionally acts as a nicotinic receptor modulator, potentially influencing broader neurotransmitter systems beyond cholinergic signaling [101]. Tacrine, the first approved AChE inhibitor, is no longer used clinically due to hepatotoxicity [102]. Despite pharmacological differences, all AChE inhibitors share a common mechanism of enhancing cholinergic transmission, resulting in temporary cognitive stabilization and symptomatic relief [77]. However, their limited disease-modifying effect highlights the need for multi-target strategies, including herbal neurotherapeutics with broader neuroprotective and anti-inflammatory actions.

4.2. Cognitive Impairment in Parkinson’s Disease

Cognitive impairment is one of the most important non-motor symptoms of Parkinson’s disease (PD) and a major determinant of disease progression. It occurs significantly more frequently in PD patients than in the general population, with an estimated increase of up to six-fold [103]. Even in early stages, cognitive decline negatively affects daily functioning and quality of life. It also contributes to substantial economic and caregiving burden. Parkinson’s disease is a progressive neurodegenerative disorder characterized by the accumulation of misfolded α-synuclein, which forms Lewy bodies and Lewy neurites within neurons (Figure 1) [57]. These pathological aggregates are closely associated with widespread neurotransmitter dysfunction and neuronal loss across multiple brain regions.
One of the most significant non-motor symptoms of PD is dementia, which results from widespread neurotransmitter disruptions and the degeneration of cortical neurons across various brain regions. It frequently includes deficits in speech, memory, and visuospatial abilities in addition to executive dysfunction. The prevalence of this impairment is rising among PD patients, especially those with recent diagnoses [104]. The intricate cause of cognitive impairment in PD likely involves the progressive deterioration of multiple brain networks [58]. As illustrated in Figure 1, these changes arise from α-synuclein aggregation, mitochondrial dysfunction, oxidative stress, and excitotoxicity.
Dopaminergic degeneration in the substantia nigra pars compacta is a hallmark of PD and leads to motor symptoms, followed by cognitive decline and dementia. The loss of dopaminergic neurons is strongly associated with α-synuclein aggregation and progressive neurodegeneration. In addition, reduced dopamine levels contribute to impaired cortical and subcortical network function [57,105].

4.2.1. Etiology of Parkinson’s Disease

The etiology of Parkinson’s disease is multifactorial and involves interacting molecular and cellular mechanisms. The most widely accepted pathological contributors include α-synuclein aggregation, mitochondrial dysfunction, oxidative stress, and excitotoxicity [106]. The accumulation of α-synuclein follows a progressive pattern described by Braak staging. Early pathology begins in the dorsal motor nucleus of the vagus nerve and olfactory structures, and gradually spreads to the brainstem and neocortex [107].
The precise mechanism of α-synuclein misfolding remains unclear; however, an imbalance between protein production and clearance is considered central. Genetic alterations such as SNCA duplication or triplication further accelerate aggregation [108].
Moreover, the etiology of Parkinson’s disease is directly linked to oxidative stress and mitochondrial dysfunction (Figure 1).
Mitochondrial dysfunction plays a key role in disease progression by reducing ATP production and increasing reactive oxygen species (ROS). This contributes to neuronal injury and cell death. Mutations in genes such as SNCA and LRRK2, as well as mitochondrial DNA abnormalities, impair mitochondrial dynamics including fission and fusion processes [109]. Oxidative stress results from an imbalance between ROS production and antioxidant defense systems, leading to cellular dysfunction. Additionally, α-synuclein aggregates further disrupt mitochondrial integrity by promoting cytochrome c release and membrane depolarization [110,111].
Excitotoxicity also contributes to neurodegeneration in PD. Excess glutamate activity overstimulates NMDA receptors, leading to calcium overload and neuronal damage. Abnormal glutamate signaling in the substantia nigra is associated with progressive dopaminergic loss [112]. Several phytochemicals have been investigated for their neuroprotective potential in PD. Curcumin, resveratrol, and quercetin exhibit antioxidant and anti-inflammatory properties that may reduce oxidative stress and mitochondrial dysfunction [113]. Mucuna pruriens contains natural L-DOPA and may support dopaminergic signaling [114]. Ginkgo biloba may enhance cerebral blood flow and provide neuroprotection through antioxidant mechanisms [115].

4.2.2. Dopamine and Parkinson’s Disease

Cognitive dysfunction in Parkinson’s disease is closely linked to dopaminergic deficits. Dopamine depletion in the substantia nigra pars compacta disrupts cortico-striatal circuits involved in memory, attention, and executive function [116]. In addition to dopamine loss, glutamatergic overactivity contributes to excitotoxic neuronal injury. Overactivation of NMDA receptors increase intracellular calcium influx and promotes oxidative stress, leading to neuronal dysfunction. α-Synuclein accumulation further exacerbates glutamate dysregulation and mitochondrial impairment [117]. Neurons in the substantia nigra are particularly vulnerable due to their high metabolic demand and susceptibility to oxidative stress. Plant-derived compounds may help modulate these pathological processes. Curcumin and resveratrol reduce oxidative stress and inhibit neuroinflammation [89]. Mucuna pruriens supports dopamine availability through its L-DOPA content, while green tea polyphenols may protect neurons by reducing excitotoxicity and oxidative damage [118].

4.2.3. Current Therapeutic Strategies in Parkinson’s Disease

The current clinical management of Parkinson’s disease (PD) primarily focuses on improving motor and non-motor symptoms through dopaminergic therapies. Levodopa remains the most effective and widely used treatment for symptomatic control, particularly for bradykinesia and rigidity [119]. Plant-derived compounds may help modulate these pathological processes. Curcumin and resveratrol reduce oxidative stress and inhibit neuroinflammation [89]. Mucuna pruriens supports dopamine availability through its L-DOPA content, while green tea polyphenols may protect neurons by reducing excitotoxicity and oxidative damage [118]. Additional pharmacological approaches include monoamine oxidase-B (MAO-B) inhibitors and catechol-O-methyltransferase (COMT) inhibitors, which help prolong dopamine activity and reduce motor fluctuations [120]. Dopamine agonists and anticholinergic agents may also be used in selected patients depending on disease stage and symptom severity [121].
Despite their clinical benefits, these therapies may be associated with complications such as dyskinesia, hallucinations, sleep disturbances, and reduced efficacy over time [122]. Consequently, comprehensive PD management also incorporates non-pharmacological interventions including regular exercise, physical rehabilitation, speech and occupational therapy, sleep optimization, cognitive support, and caregiver-centered strategies to improve mobility, functional independence, and quality of life [123].
In addition to conventional therapies, increasing attention has been directed toward herbal compounds and phytochemicals with potential neuroprotective properties. Experimental studies suggest that compounds such as curcumin, resveratrol, ginsenosides, and green tea polyphenols may exert antioxidant, anti-inflammatory, and mitochondrial-protective effects relevant to PD pathology [124]. Mucuna pruriens, a natural source of L-DOPA, has also been investigated for its potential supportive role in dopaminergic regulation [125]. However, despite these promising experimental findings, the current clinical evidence remains limited and heterogeneous. Therefore, herbal neurotherapeutics should currently be considered complementary rather than replacement therapies, and further large-scale, standardized clinical studies are required to establish their long-term efficacy and safety [126].

4.2.4. Dopaminergic Strategies for the Treatment of Parkinson’s Disease

At present, PD remains incurable, as no available treatment can halt or even slow its progression, despite significant efforts from various research organizations aimed at [127,128]. Nonetheless, a variety of dopaminergic and nondopaminergic therapies for treating both motor and non-motor symptoms of PD can significantly enhance the quality of life for patients over many years [129,130,131]. Dopaminergic agents, in particular, constitute the cornerstone of motor symptom management. Table 1 presents a summary of FDA-approved pharmacological treatments for both PD and Alzheimer’s disease (AD), including their mechanisms of action and therapeutic targets.

4.3. Serotonin and Cognitive Impairments

Serotonin (5-hydroxytryptamine, 5-HT) is a key neurotransmitter involved in neurodevelopment and the regulation of cognitive and emotional processes [156]. The serotonergic system plays an important role in learning and memory, mainly through its interactions with the cholinergic, glutamatergic, dopaminergic, and GABAergic systems [157]. These interactions support higher brain functions, particularly within the septohippocampal complex and the nucleus basalis magnocellularis–frontal cortex network. Serotonin is synthesized from the amino acid tryptophan and is widely distributed in serotonergic neurons, enterochromaffin cells, and blood platelets [158]. It regulates diverse central nervous system functions through serotonin receptors (5-HT receptors), which are classified into seven subfamilies (5-HT1–5-HT7) [159]. Most of these receptors belong to the G protein-coupled receptor family, except 5-HT3 receptors, which function as ligand-gated ion channels [160]. Alterations in serotonergic signaling have been implicated in several neuropsychiatric and neurodegenerative disorders, including depression, anxiety, schizophrenia, Alzheimer’s disease, and age-related cognitive decline [161]. Serotonergic dysfunction is increasingly recognized as a contributor to cognitive impairment. Therefore, targeting serotonin pathways has become an important therapeutic strategy for cognitive and mood-related disorders [162].
Selective serotonin reuptake inhibitors (SSRIs) remain the first-line pharmacological treatment for depression [163].
Common SSRIs include citalopram, escitalopram, fluoxetine, fluvoxamine, paroxetine, and sertraline. Although they share a common mechanism of serotonin reuptake inhibition, they differ in pharmacokinetic properties and side effect profiles, which guide clinical selection. Evidence suggests that SSRIs may also exert beneficial effects on certain cognitive domains, including psychomotor performance, executive function, and memory in patients with depression [164,165,166].
Alongside conventional pharmacotherapy, increasing attention has been given to plant-derived compounds that may modulate serotonergic signaling. Phytochemicals such as hyperforin (from Hypericum perforatum), crocin (from Crocus sativus), and curcumin have demonstrated potential antidepressant-like and neurocognitive effects through modulation of serotonin pathways [167]. These findings suggest that herbal compounds may serve as adjunct strategies for improving serotonergic balance and cognitive outcomes [168].

4.4. Cognitive Impairments in Schizophrenia

Schizophrenia is a prevalent and debilitating mental disorder characterized by psychotic symptoms, negative symptoms, and cognitive impairments, including deficits in executive function and working memory [169].
It is commonly classified into three symptom domains: cognitive deficits, affective flattening, reduced emotional expression (alogia), and positive symptoms such as delusions and perceptual disturbances [170,171]. Although cognitive dysfunction has long been recognized in schizophrenia, recent studies increasingly identify it as a major contributor to functional impairment [172].

4.4.1. Etiology of Schizophrenia

Neuroimaging studies show that cognitive deficits in schizophrenia are associated with reduced cortical thickness [173,174]. Sex differences have been reported, with stronger effects in women [175]. Additional structural and functional abnormalities include enlarged ventricles, reduced cerebellar volume, impaired basal ganglia function, and loss of dendritic spines in the dorsolateral prefrontal cortex [176,177]. These changes may reflect disruption of cortico-cerebellar-thalamic-cortical circuits and reduced prefrontal metabolic activity [178]. Stress-related hormonal changes also contribute. Elevated cortisol can cross the blood–brain barrier and affect the amygdala, hippocampus, and prefrontal cortex [179,180]. Increased cortisol is linked to reduced BDNF expression, hippocampal atrophy, and poorer cognitive performance [181,182].
Prolactin dysregulation is also associated with cognitive decline, although interpretation is complicated by antipsychotic effects [183,184]. Neurotransmitter dysregulation, particularly involving glutamate, GABA, and dopamine pathways, contributes significantly to cognitive impairment in schizophrenia [185,186]. Glutamatergic dysfunction in the dorsolateral prefrontal cortex has been associated with impaired working memory and abnormal cortical signaling [187,188]. In addition, NMDA receptor hypofunction, altered kynurenine metabolism, and neuroinflammatory processes may further contribute to excitatory–inhibitory imbalance and cognitive dysfunction [189,190,191,192]. Genetic susceptibility factors associated with neurotransmission and synaptic regulation may also contribute to schizophrenia-related cognitive dysfunction [193].

4.4.2. Glutamate Hypothesis of Schizophrenia and Its Implication for the Treatment

Glutamate is the most abundant excitatory neurotransmitter in the brain. Over the last 25 years, pharmacological, neuroimaging, and genetic studies have highlighted glutamatergic dysregulation in the pathophysiology of schizophrenia, with recent clinical trials reporting promising therapeutic outcomes. Glutamatergic dysregulation is increasingly recognized as an important mechanism underlying cognitive dysfunction in schizophrenia [194,195]. In particular, NMDA receptor hypofunction may disrupt excitatory–inhibitory balance and impair cortical signaling involved in cognition and working memory [196]. However, current evidence suggests that schizophrenia-related glutamatergic abnormalities involve complex dysregulation rather than simple glutamate reduction alone [197,198]. Overall, current evidence suggests that schizophrenia-related glutamatergic dysfunction reflects an imbalance in excitatory neurotransmission involving both NMDA receptor hypofunction and altered non-NMDA receptor activity. From a therapeutic perspective, several phytochemicals and herbal compounds with glutamatergic modulatory and neuroprotective properties, including flavonoids and alkaloids, have been explored as potential adjunctive approaches for supporting excitatory–inhibitory balance in schizophrenia [199,200].

4.5. Cognitive Impairment in Depression

4.5.1. Gamma-Aminobutyric Acid (GABA) and Cognitive Function in Depression

In addition to schizophrenia, major depressive disorder is also strongly associated with alterations in inhibitory neurotransmission, particularly involving the GABAergic system. In addition to schizophrenia, major depressive disorder is also associated with alterations in inhibitory neurotransmission, particularly involving the GABAergic system. GABA is the principal inhibitory neurotransmitter in the brain and plays an important role in regulating neuronal excitability, hippocampal activity, learning, and cognitive processing [201,202]. Reduced GABAergic signaling and impaired inhibitory balance have been associated with cognitive dysfunction, stress-related pathology, and depressive symptoms [203,204]. These findings suggest that GABAergic dysfunction may contribute to cognitive impairment observed in depression and related affective disorders. It is interesting to note that GABAergic abnormalities associated with MDD generally appear to impact neurons that express SST. As a result, one of the most promising endophenotypes for therapeutic targets in depression is thought to have low GABA levels [205]. While schizophrenia is primarily associated with glutamatergic and dopaminergic dysfunction, similar inhibitory neurotransmitter alterations are also observed in affective disorders such as depression.

4.5.2. GABAergic Hypothesis in Depression and Its Implications for Treatment

Increasing evidence suggests that GABAergic dysfunction plays an important role in the pathophysiology of major depressive disorder [206,207]. GABA, the principal inhibitory neurotransmitter in the central nervous system, regulates neuronal excitability, stress responses, emotional processing, and cognitive function. Alterations in GABAergic neurotransmission have been associated with impaired brain plasticity, memory deficits, and mood disturbances observed in depression [204,205,208]. These functions are largely dependent on GABAergic neurons [209]. Reduced GABA levels have been reported in the plasma, cerebrospinal fluid, and cortical tissues of patients with depression, particularly in treatment-resistant cases [210]. In addition, dysregulation of glutamatergic and GABAergic signaling contributes to excitatory–inhibitory imbalance, which is increasingly recognized as a key mechanism underlying depressive disorders [211,212,213]. GABAergic dysfunction may also promote hyperactivity of the hypothalamic–pituitary–adrenal (HPA) axis through impaired inhibition of corticotropin-releasing factor signaling, thereby contributing to elevated cortisol levels and stress-related pathology [214]. Current antidepressant strategies, including selective serotonin reuptake inhibitors and ketamine, may partially exert their therapeutic effects through modulation of glutamatergic and GABAergic signaling pathways [205,215].

4.6. Vascular Dementia and Glutamatergic Dysfunction

Beyond psychiatric disorders such as schizophrenia and depression, glutamatergic dysregulation also contributes to neurodegenerative conditions, including vascular dementia. Cerebral ischemia and chronic hypoperfusion can promote excessive glutamate release, leading to excitotoxic neuronal injury, synaptic dysfunction, and cognitive decline [216,217]. Disturbances in intracellular calcium homeostasis may further amplify neuronal damage under ischemic conditions [218]. Pharmacological agents targeting calcium signaling, including nimodipine, have demonstrated potential neuroprotective effects in vascular dementia and cerebrovascular injury [219]. For instance, nimodipine, an L-type VGCC channel antagonist with FDA approval, is used to treat and prevent brain damage following aneurysmal subarachnoid hemorrhage [219]. Previous research has indicated that nimodipine is a useful treatment for VD. In addition to inhibiting Ca2+ inward flow, insulin, 4,1-benzothiazepines, and CX3CR1107 also have neuroprotective properties. When taken as drugs, they might help relieve VD [220,221,222].
Given the multifactorial mechanisms involved in vascular cognitive impairment, increasing attention has been directed toward herbal medicines with potential neuroprotective properties. Several medicinal plants and phytochemicals possess antioxidant, anti-inflammatory, cholinesterase-inhibitory, and neuroprotective activities that may help support neuronal function and cognitive health [223,224]. In addition, certain herbal formulations may influence multiple pathological pathways involved in neurodegeneration, suggesting possible complementary roles in vascular cognitive disorders. However, further large-scale clinical studies and standardized evaluations are required to establish their long-term efficacy and safety.

4.7. Emerging Integrative Mechanisms Linking Cognitive Impairment, Neurodegeneration, and the Gut–Brain Axis

In addition to classical mechanisms such as neurotransmitter imbalance, oxidative stress, and neuroinflammation, several emerging pathways contribute to cognitive impairment across neuropsychiatric and neurodegenerative disorders. Gut microbiota dysbiosis has been increasingly associated with cognitive dysfunction in Alzheimer’s disease, Parkinson’s disease, schizophrenia, and major depressive disorder. Altered microbial composition may influence brain function through immune activation, impaired intestinal barrier integrity, systemic inflammation, and changes in neurotransmitter and metabolite production, thereby contributing to gut–brain axis dysfunction and synaptic impairment.
Microbial metabolites, including short-chain fatty acids, bile acid derivatives, and tryptophan metabolites, regulate microglial activation, blood–brain barrier integrity, synaptic plasticity, and serotonergic signaling. In parallel, neurovascular dysfunction, impaired metabolic signaling, and mitochondrial abnormalities may further contribute to reduced cerebral blood flow, neuronal energy deficits, tau hyperphosphorylation, and cognitive decline across multiple disorders.
At the cellular level, impaired autophagy and lysosomal clearance contribute to the accumulation of damaged proteins, dysfunctional mitochondria, and oxidative stress, which are commonly observed in neurodegenerative disorders. Emerging evidence also implicates ferroptosis and epigenetic dysregulation, including altered DNA methylation, histone modification, and microRNA signaling, in the progression of cognitive impairment and neuroinflammatory responses.
Importantly, these pathways are interconnected rather than independent. Gut microbiota dysbiosis may influence metabolic signalling, immune activation, and epigenetic regulation. Vascular dysfunction and mitochondrial impairment further exacerbate neuroinflammation and neurotransmitter imbalance. Together, these interactions support a systems-level model of cognitive decline across disorders. Several phytochemicals and herbal bioactives including curcumin, resveratrol, ginsenosides, bacosides, and epigallocatechin gallate, have demonstrated multi-target biological activities involving oxidative stress, inflammation, metabolism, and gut microbiota regulation. Therefore, these compounds may represent potential supportive strategies for maintaining gut–brain–immune–metabolic homeostasis in cognitive disorders.
Targeting these integrated mechanisms may provide a broad strategy for reducing cognitive decline across psychiatric and neurodegenerative diseases. A summary of these mechanisms and their associated herbal targets is provided in Table 2.

5. Herbal Medicine in Promoting Cognitive Health and Memory Resilience: Mechanisms

Herbal medicine has been used worldwide for centuries to improve impaired memory and related disorders [244,245]. Evidence suggests that specific medicinal plants possess cognition-enhancing properties mediated by bioactive phytochemicals with neuroprotective potential [245,246]. The growing international demand for plant-based therapeutics is partly attributed to the perception that natural phytoconstituents are associated with lower toxicity and fewer adverse effects compared with many synthetic compounds [247]. Numerous medicinal plants used in traditional Chinese, Japanese, Korean, African, American, and European medicine have been reported to alleviate memory impairment and cognitive dysfunction. The overall therapeutic effects of nootropic herbs on cognitive health are illustrated in Figure 2.
Plants with neuroactive properties are designated as botanical neuroenhancers, whereas their active phytochemicals are identified as neuroactive phytochemicals [248]. Administration of natural nootropics may support neuronal resilience against toxic insults and age-related cognitive decline. Natural nootropics may support cognitive function through modulation of neurotransmitter systems, enhancement of cerebral circulation, and maintenance of neuronal integrity. Some phytochemicals exhibit vasodilatory properties that promote cerebral blood flow and oxygen delivery to neuronal tissues [249]. These effects may support neuronal activity, and cognitive processing [248]. Commercially available natural nootropics exert their effects through multiple neuropharmacological mechanisms. These compounds can modulate neurotransmitter concentrations and signaling pathways, including increased dopamine release, enhancement of cholinergic neurotransmission, modulation of AMPA receptor activity, stimulation of phosphatidylinositol turnover, and activation of phospholipase A2 pathways [250]. Certain naturally occurring nootropics also function as positive allosteric modulators of glutamatergic or cholinergic receptors [251]. Collectively, these mechanisms may support synaptic transmission, neuronal communication, and processes involved in learning and memory formation [252].
Figure 2. Overview of the therapeutic effects of nootropic herbs on cognitive health. These herbs enhance memory, cognition, and overall brain function by increasing neurotransmitter levels, particularly acetylcholine, through inhibition of acetylcholinesterase (AChE) [253]. They also improve cerebral blood circulation, support neuronal signaling, and protect against oxidative stress. Many natural nootropics are derived from common dietary plants and are widely used globally, with nearly 80% of the world’s population relying on herbal medicines for general healthcare [254,255,256]. The red arrow indicates the application of herbal interventions for cognitive impairment, the blue circular arrows represent cognitive enhancement and recovery following herbal treatment, the green leaves symbolize nootropic herbal medicines, and the green dashed lines indicate the association between the listed biological effects and the corresponding cognitive states.
Figure 2. Overview of the therapeutic effects of nootropic herbs on cognitive health. These herbs enhance memory, cognition, and overall brain function by increasing neurotransmitter levels, particularly acetylcholine, through inhibition of acetylcholinesterase (AChE) [253]. They also improve cerebral blood circulation, support neuronal signaling, and protect against oxidative stress. Many natural nootropics are derived from common dietary plants and are widely used globally, with nearly 80% of the world’s population relying on herbal medicines for general healthcare [254,255,256]. The red arrow indicates the application of herbal interventions for cognitive impairment, the blue circular arrows represent cognitive enhancement and recovery following herbal treatment, the green leaves symbolize nootropic herbal medicines, and the green dashed lines indicate the association between the listed biological effects and the corresponding cognitive states.
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Medicinal herbs may also inhibit acetylcholinesterase (AChE) activity, thereby increasing acetylcholine availability in the brain and supporting cholinergic neurotransmission [250]. In addition, several phytochemicals exhibit antioxidant and anti-inflammatory properties that may reduce oxidative stress and neuroinflammatory responses associated with neurodegenerative disorders.

5.1. Herbal Medicines in Cognitive Enhancement and Disorder Management

Since ancient times, herbal remedies have been used to support cognitive function and promote brain health. Emerging evidence suggests that certain herbal compounds may have potential supportive roles in neurodegenerative disorders such as Alzheimer’s disease and Parkinson’s disease. Some herbal extracts, including Ginkgo biloba, Panax ginseng, and Bacopa monnieri, have been investigated for their possible neuroprotective properties and their ability to support memory, attention, synaptic plasticity, and cerebral circulation [257,258]. In addition, phytochemicals such as curcumin, ashwagandha, and Centella asiatica have shown antioxidant and anti-inflammatory activities in experimental and limited clinical studies, suggesting possible supportive effects against neurodegenerative processes [259]. However, despite encouraging preclinical findings, the clinical evidence remains heterogeneous, and further well-designed large-scale trials are necessary to confirm their long-term efficacy and safety in cognitive disorders. Recent phytochemical profiling studies, including HPLC-ESI-QTOF-MS/MS analyses of saffron corms, continue to identify diverse bioactive constituents with potential pharmacological relevance [260].

5.2. Mechanism of Action of Herbal Medicine in Disorder Management

Herbal medicine exerts therapeutic effects by targeting key biological pathways, including neurotransmitter regulation, enhancement of neurogenesis, reduction in neuroinflammation, and antioxidant protection. These processes collectively contribute to neuronal survival, synaptic transmission, and brain plasticity. While herbal medicines act through multiple mechanisms, their neuroprotective effects are increasingly associated with the modulation of the peripheral system, the central nervous system, and the gut–brain axis [261,262]. Herbal medicines may influence neuroplasticity and higher-order brain functions by modulating neuronal activity, glial cell function, peripheral hormone secretion, and gut microbial composition (Figure 3) [263]. While many herbs are traditionally used to manage pathological conditions, they are also frequently consumed by healthy individuals, especially in Asian countries, to enhance cognitive performance, improve physical vitality, and delay age-related cognitive decline. Understanding how these herbal interventions affect brain health during the normal aging process is therefore important. Through actions on interconnected biological systems, herbal medicines enhance neurotransmitter signaling, regulate stress-related hormones, improve metabolic balance, and promote beneficial gut microbiota changes, collectively supporting cognitive resilience and healthy brain aging.
Herbal medicines also operate through the gut–brain–microbiota axis, a pathway increasingly recognized as essential in neurodegenerative disorders such as AD. After oral consumption, herbal compounds are transformed and absorbed in the gut, where they interact with intestinal microbiota. This interaction alters microbial composition, enhances beneficial bacteria, and reduces dysbiosis, leading to increased production of short-chain fatty acids (SCFAs) and decreased inflammatory cytokines [264]. These gut-mediated changes strengthen intestinal barrier function and improve central nervous system homeostasis. Given the strong association between gut microbiota dysregulation and AD, these secondary effects may partially contribute to the proposed neuroprotective properties of certain herbal medicines. Several herbs and plant formulations have shown the ability to regulate gut microbial populations, thereby influencing cognitive outcomes. Numerous plant formulations have demonstrated the capacity to control gut microbial populations, which in turn affects cognitive function. A classified summary of herbal and natural substances that have been shown to improve memory and cognition is given in Table 3, together with information on their bioactive components, medicinal applications, and modes of action. Figure 3 summarizes the integrated peripheral, central, and gut-mediated mechanisms through which herbal medicines support cognitive function and neuroprotection.
Through modulation of gut microbiota composition and inflammatory signaling pathways, certain herbal compounds may help influence neuroinflammatory responses, β-amyloid pathology, and neuronal homeostasis via the microbiota–gut–brain axis [265]. Regulation of inflammatory signaling pathways such as NF-κB and MAPK remains central to neuroprotection. Supporting evidence from related cellular models has shown that nonthermal plasma jet suppresses inflammatory responses through modulation of the NF-κB and MAPK pathways in human coronavirus 229E-infected lung cells [266]. However, these mechanisms remain incompletely understood and require further clinical validation.
Figure 3. Proposed mechanisms through which herbal medicines exert neuroprotective and cognitive-enhancing effects via peripheral, central, and gut–brain pathways. Herbal extracts modulate peripheral physiology by reducing arterial stiffness, lowering glucose and stress-related hormones (cortisol, epinephrine), and improving systemic metabolic balance. These changes enhance vascular function and oxygen-nutrient delivery to the brain. Herbal compounds also cross the blood–brain barrier (BBB) or act through metabolites to influence central neurotransmission, increasing serotonin and dopamine levels, enhancing mitochondrial biogenesis, reducing Aβ accumulation, modulating oligodendrocyte activity, and decreasing microglial activation and neuroinflammation. Gut–brain axis modulation is mediated through increased microbial diversity, reduced dysbiosis, metabolite signaling, and vagus-nerve pathways, collectively reducing inflammation, oxidative stress, and BBB permeability. These integrated molecular and cellular interactions may support cognitive function and neuroprotection while potentially influencing fatigue, mood, and neuroinflammatory responses [267,268,269,270].
Figure 3. Proposed mechanisms through which herbal medicines exert neuroprotective and cognitive-enhancing effects via peripheral, central, and gut–brain pathways. Herbal extracts modulate peripheral physiology by reducing arterial stiffness, lowering glucose and stress-related hormones (cortisol, epinephrine), and improving systemic metabolic balance. These changes enhance vascular function and oxygen-nutrient delivery to the brain. Herbal compounds also cross the blood–brain barrier (BBB) or act through metabolites to influence central neurotransmission, increasing serotonin and dopamine levels, enhancing mitochondrial biogenesis, reducing Aβ accumulation, modulating oligodendrocyte activity, and decreasing microglial activation and neuroinflammation. Gut–brain axis modulation is mediated through increased microbial diversity, reduced dysbiosis, metabolite signaling, and vagus-nerve pathways, collectively reducing inflammation, oxidative stress, and BBB permeability. These integrated molecular and cellular interactions may support cognitive function and neuroprotection while potentially influencing fatigue, mood, and neuroinflammatory responses [267,268,269,270].
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Table 3. Nutrients, phytochemicals, medicinal plants, and clinically validated herbal interventions associated with cognitive enhancement and neuroprotection.
Table 3. Nutrients, phytochemicals, medicinal plants, and clinically validated herbal interventions associated with cognitive enhancement and neuroprotection.
Category/IntervationSource/Bioactive Chemical constituents Family/TypeTherapeutic
Properties
Mechanism of ActionRef.
A. Nutrients and Endogenous Compounds
Amino acids and proteinsL-carnitine, L-cysteine, L-glutamine, L-phenylalanine, L-tryptophan, L-tyrosineAmino acidNeurotransmission,
brain metabolism, fatigue reduction, neuroprotection
↑ Synaptic plasticity, neurotransmission, memory formation, neuroprotection[271,272]
GlucoseFruits, vegetables, and HoneysaccharidesNeuronal energy metabolism↑ Glycosylation, metabolic sensing, neuronal activity[273]
IronLegumes, Nuts and seeds, dried fruits, red meatsMineralOxidative stress regulationROS balance, ferroptosis modulation[274,275]
Omega-3 Fatty AcidsA-linolenic acid (ALA), Docosahexaenoic acid (DHA)Fatty acidNeurodevelopment, anti-inflammatory effects↑ Neurogenesis, synaptic plasticity,
↓ neuroinflammation
[276]
VitaminsB1, B2, B3, Folic acid, CholineVitaminsNeuroprotection, cognition↓ oxidative stress, ↑ mitochondrial function, Aβ clearance[277,278]
HormonesDHEA, pregnenolone, vasopressinEndogenous hormonesCognitive regulation, stress responseNeuroendocrine modulation via receptor signaling[279,280]
B. Isolated Phytochemicals.
AntixidantsFlavonoids, anthocyanins, phenolics, tanninsPolyphenolsNeuroprotection↓ Oxidative stress, anti-inflammatory effects[281,282,283,284]
DMAE and cholinergic compoundsDMAE, ALCAR, phosphatidylserine, L-theanineAmino alcoholsCognitive enhancement↑ Cholinergic signaling, immune modulation[285,286]
Caffeine compoundsCaffeine, polyphenolsAlkaloidCognitive stimulation↑ Dopamine release, synaptic activity[287,288]
Phospholipid derivativesPhosphatidylcholine, phosphatidylserineLipidsBrain membrane function↓ Microglial activation, signaling regulation[289,290]
C. Whole Herbal Extracts/Medicinal Plants.
Amla (Emblica officinalis)Vitamin C, flavonoidsPhyllanthaceaeAntioxidant, neuroprotective↑ Acetylcholine,
↓ Oxidative stress
[291,292]
Bacopa monnieri (Brahmi)BacosidesPlantaginaceaeMemory enhancement↑ Acetylcholine synthesis,
↓ Aβ aggregation
[293,294]
Curcuma longaCurcuminoidsZingiberaceaeNeuroprotection↑ BDNF, ↓ neuroinflammation[295,296,297,298,299]
Ginkgo bilobaFlavonoids, bilobalideGinkgoaceaeCognitive enhancement↑ Mitochondrial function, ↓ Aβ[300,301]
Ginseng (Panax ginseng)GinsenosidesAraliaceaeNeuroprotection↑ Synaptic plasticity,
↓ AChE
[302]
Ginger (Zingiber officinale)GingerolsZingiberaceaeAnti-inflammatory↓ oxidative stress[303,304,305]
Gotu kola (Centella asiatica)TriterpenoidsApiaceaeMemory enhancement↓ NF-κB,
↑ neuroprotection genes
[306,307,308]
Green tea (Camellia sinensis)EGCGTheaceaeNeuroprotection↓ oxidative stress[298,309,310]
Guduchi (Tinospora cordifolia)AlkaloidsMenispermaceaeImmunomodulation↑ Neurotransmitters[311,312,313]
Moringa oleiferaPolyphenolsMoringaceaeNeuroprotection↓ ROS, ↑ AChE inhibition[314,315,316]
Magnolia officinalisMagnolol, honokiolMagnoliaceaeAnti-stress↓ apoptosis, ↑ cholinergic activity[317,318]
Ashwagandha (Withania somnifera)WithanolidesSolanaceaeCognitive enhancement↓ oxidative stress,
↓ Aβ aggregation
[319,320]
D. Clinically Validated Interventions (Human Trials).
AshwagandhaWithanolidesRCTImprove memory, attention↓ stress, ↑ synaptic plasticity[321,322]
Bacopa monnieriBacosidesClinical trialImprove cognition↑ cholinergic function[323]
Ginkgo biloba (EGb 761)Flavonoids, terpenesRCTsImprove memory↑ cerebral blood flow[324,325]
Spearmint extractPolyphenolsRCTImprove working memoryNeuromodulation[326,327]
Diosgenin yam extractDiosgeninHuman studyCognitive improvementNeuroplasticity enhancement[328,329]
Abbreviation: ↓, downregulation; ↑, upregulation.
To improve clarity and scientific organization, Table 3 has been reorganized into four distinct categories: (1) nutrients and endogenous compounds, (2) isolated phytochemicals, (3) whole herbal extracts/plants, and (4) clinically validated interventions based on human studies.

5.2.1. Mitochondrial Dysfunction and Cellular Energetics in Neurodegeneration

Mitochondrial dysfunction is a central mechanism underlying neurodegeneration and cognitive decline in AD [80]. Neurons require a continuous supply of ATP to maintain synaptic transmission, calcium homeostasis, membrane excitability, and cellular survival. Impaired oxidative phosphorylation reduces ATP production, disrupts neuronal metabolism, and contributes to synaptic dysfunction, oxidative stress, and neuronal death [80,330]. Excessive production of ROS from damaged mitochondria further promotes lipid, protein, and DNA damage, thereby aggravating β-amyloid toxicity and neurodegeneration. In AD, mitochondrial abnormalities such as electron transport chain impairment, mitochondrial DNA damage, defective calcium buffering, and elevated oxidative stress are strongly associated with progressive cognitive decline [331,332]. Mitochondrial homeostasis is maintained through coordinated regulation of mitochondrial biogenesis, energy metabolism, and quality-control pathways. The AMPK/SIRT1/PGC-1α signaling axis plays an important role in this process. AMPK functions as a cellular energy sensor during metabolic stress, whereas SIRT1 activates PGC-1α through deacetylation. Activated PGC-1α promotes mitochondrial biogenesis, oxidative phosphorylation, and antioxidant defense mechanisms [333]. Dysregulation of these pathways contributes to impaired mitochondrial function in neurodegenerative disorders.
Mitophagy, the selective removal of damaged mitochondria, is another essential mechanism for maintaining neuronal homeostasis. Defects in mitophagy-related pathways, including PINK1/Parkin signaling, result in the accumulation of dysfunctional mitochondria and increased oxidative stress within neurons [334,335]. Several herbal compounds discussed in this review have demonstrated beneficial effects on mitochondrial function and cellular energetics. Resveratrol activates the SIRT1/AMPK/PGC-1α pathway, thereby promoting mitochondrial biogenesis, improving ATP production, and reducing oxidative stress [336]. Curcumin suppresses mitochondrial ROS generation, stabilizes mitochondrial membrane potential, and attenuates oxidative damage and neuroinflammation [337]. Curcumin has also demonstrated regulatory effects on intracellular stress-response pathways beyond neurological models. For example, curcumin-based combination treatment has been reported to induce apoptosis through mitochondrial-mediated intrinsic signaling and ATR/ATM/p53-dependent pathways, highlighting its ability to modulate redox-sensitive molecular networks involved in cellular survival and degeneration [338]. These mechanistic findings further support the broader therapeutic potential of curcumin as a multitarget phytochemical with possible neuroprotective relevance. Similarly, evidence from non-neuronal cellular models has shown that Atractylodes lancea exerts anticancer activity by regulating ROS-mediated apoptotic pathways, further emphasizing the importance of redox homeostasis and oxidative stress modulation in cellular survival and degeneration [339]. Ginseng and its ginsenosides enhance mitochondrial energy metabolism, preserve electron transport chain activity, and strengthen antioxidant defenses in neuronal tissues. Similarly, Bacopa monnieri has been reported to protect mitochondrial integrity, reduce lipid peroxidation and ROS accumulation, and improve endogenous antioxidant status, thereby supporting neuronal survival and cognitive function [340,341]. Collectively, these findings indicate that modulation of mitochondrial dysfunction and cellular energetics represents an important mechanism through which herbal medicines may attenuate neurodegenerative progression and preserve cognitive health.

5.2.2. Epigenetic and Gene-Regulatory Mechanisms of Herbal Medicines in Neurodegeneration

Recent studies suggest that epigenetic dysregulation contributes significantly to the progression of neurodegenerative disorders, including AD. Epigenetic mechanisms such as histone acetylation and deacetylation, DNA methylation, and microRNA (miRNA) regulation influence synaptic plasticity, neuronal survival, memory formation, and neuroinflammation [342]. Increased histone deacetylase (HDAC) activity has been associated with cognitive impairment and enhanced neuroinflammatory responses, whereas phytochemicals such as curcumin and resveratrol may promote neuroprotective gene expression through modulation of histone acetylation pathways [343,344]. Abnormal DNA methylation patterns have also been linked to β-amyloid accumulation and neuronal dysfunction in AD [345]. MicroRNAs, including miR-124, miR-132, miR-146a, and miR-155, are important regulators of neuroinflammation and synaptic signaling [346]. Dysregulation of these miRNAs contributes to microglial activation, oxidative stress, and cognitive decline in neurodegenerative disorders [347].
The Nrf2/Keap1 signaling pathway also plays a major role in cellular antioxidant defense through the regulation of oxidative stress-responsive genes. Several herbal compounds, including curcumin, resveratrol, ginsenosides, and Bacopa monnieri, have demonstrated the ability to activate Nrf2 signaling, suppress oxidative stress, and reduce neuroinflammation [341,348,349]. SIRT1-mediated neuroprotection is increasingly recognized as an important therapeutic mechanism in aging and neurodegeneration. SIRT1 regulates histone deacetylation, mitochondrial biogenesis, inflammatory signaling, and neuronal survival pathways. Activation of SIRT1 has been associated with reduced neuronal apoptosis, improved synaptic plasticity, and attenuation of β-amyloid-induced toxicity [350,351,352]. Resveratrol, in particular, has shown neuroprotective effects through activation of SIRT1 signaling and reduction in oxidative and inflammatory damage [353]. Epigenetic modulation and gene-regulatory processes collectively represent promising therapeutic avenues through which herbal medicines may counteract neurodegenerative progression and promote brain health.

5.2.3. Herbal Medicines as Modulators of Gut Microbiota and Their Impact on Brain Function

Herbal medicines can indirectly influence brain function by modulating gut microbiota composition and gut–brain communication pathways. Several phytochemicals, including curcumin, resveratrol, ginsenosides, and Bacopa monnieri, act as natural prebiotic-like compounds that promote beneficial bacteria while suppressing harmful microbial populations. These effects help maintain gut homeostasis, metabolic balance, and gut–brain axis function [261]. Short-chain fatty acids (SCFAs), particularly butyrate, acetate, and propionate, are produced through microbial fermentation of herbal polysaccharides and dietary compounds. These metabolites exert neuroprotective effects by reducing neuroinflammation, strengthening BBB integrity, regulating microglial activation, and supporting neuronal energy metabolism. Butyrate has also been associated with the regulation of gene expression involved in synaptic plasticity and cognitive function [354].
Herbal-induced alterations in gut microbiota may additionally influence vagus nerve signaling, an important bidirectional communication pathway between the gut and the brain. Through this pathway, gut-derived signals can modulate neuroimmune responses, stress signaling, and neuronal activity. Tryptophan metabolism is another major gut–brain pathway influenced by intestinal microbiota. Microbial regulation of serotonin biosynthesis and kynurenine pathway metabolites may affect mood, cognition, and neuroinflammatory processes. By restoring microbial balance, herbal medicines may help improve serotonergic signaling and cognitive health [355]. Gut dysbiosis can also increase intestinal permeability, leaky gut, allowing translocation of lipopolysaccharides and other inflammatory endotoxins into systemic circulation. This process promotes systemic inflammation and neuroinflammatory responses associated with cognitive decline. Herbal medicines may help restore intestinal barrier integrity, reduce endotoxin translocation, and attenuate inflammation-mediated neuronal dysfunction [356]. The following Table 4 summarizes representative herbal compounds and their modulatory effects on gut microbiota composition and associated neuroprotective mechanisms via the gut–brain axis.

5.2.4. Proteostasis and Autophagy-Regulating Mechanisms of Herbal Medicines in Neurodegeneration

Protein homeostasis (proteostasis) is essential for maintaining neuronal integrity and normal cellular function. Disruption of proteostasis contributes to the accumulation of misfolded and toxic proteins, including amyloid-β (Aβ) plaques and hyperphosphorylated tau aggregates, which are characteristic features of neurodegenerative disorders [367]. Cellular protein quality control is primarily regulated by the autophagy–lysosomal pathway and the ubiquitin–proteasome system, both of which are responsible for the degradation and clearance of damaged proteins and dysfunctional cellular components [368,369]. Impairment of these systems promotes defective protein clearance, oxidative stress, synaptic dysfunction, and progressive neuronal degeneration. While the UPS mainly degrades ubiquitinated proteins, autophagy plays a critical role in the lysosomal removal of aggregated proteins [370]. Dysregulation of these pathways has been strongly associated with AD pathology and cognitive decline.
The mammalian target of rapamycin (mTOR) signaling pathway is a major regulator of autophagy and cellular metabolism. Hyperactivation of mTOR suppresses autophagic activity and contributes to the accumulation of Aβ and tau pathology in neurodegenerative diseases [371]. Several herbal compounds have demonstrated neuroprotective effects through modulation of autophagy-related signaling pathways [367]. Resveratrol and curcumin have been reported to enhance autophagy and promote clearance of toxic protein aggregates through inhibition of mTOR signaling and activation of AMPK-related pathways [372]. Ashwagandha also exhibits neuroprotective effects by reducing oxidative stress, enhancing protein clearance mechanisms, and decreasing neuronal apoptosis. In addition, maca has shown antioxidant and neuroprotective properties associated with the regulation of cellular stress responses and maintenance of neuronal homeostasis [373]. All of these results point to the possibility that herbal remedies may slow the course of neurodegenerative diseases and maintain cognitive function by modifying proteostasis and autophagy-related pathways. It is becoming increasingly acknowledged that maintaining proteostasis and restoring autophagic flux are effective treatment approaches for slowing the progression of cognitive disorders [374]. Therefore, herbal compounds capable of regulating autophagy-related pathways and enhancing protein clearance mechanisms may offer significant potential for maintaining neuronal integrity during neurodegenerative aging.

5.2.5. Synaptic Plasticity and Neurotrophic Mechanisms of Herbal Medicines

Synaptic plasticity is essential for learning, memory formation, and cognitive flexibility. Impairment of synaptic plasticity is strongly associated with cognitive disorders and neurodegenerative diseases [375]. Neurotrophic signaling pathways, particularly brain-derived neurotrophic factor (BDNF) and its receptor tropomyosin receptor kinase B (TrkB), play important roles in neuronal survival, synaptic transmission, and long-term potentiation (LTP) [376]. Activation of BDNF/TrkB signaling stimulates pathways involved in neuronal growth, synaptic strengthening, and memory consolidation [377]. The cAMP response element-binding protein (CREB) is another important transcription factor involved in neuronal plasticity and memory-related gene expression. Reduced BDNF and CREB activity has been associated with synaptic dysfunction, impaired LTP, and cognitive decline in neurodegenerative disorders [377,378]. Several herbal compounds have demonstrated neuroprotective effects through modulation of neurotrophic and synaptic signaling pathways. Herbal extracts have been reported to enhance BDNF expression, activate CREB signaling, and improve synaptic plasticity in experimental models [379]. In addition, phytochemicals may promote synaptogenesis, preserve dendritic spine density, and strengthen neuronal connectivity, thereby supporting cognition and memory function [380]. Supporting evidence from related cellular models has demonstrated activation of p38/FOXO1 and PI3K/AKT signaling pathways, further emphasizing the broader role of these conserved pathways in cellular survival, regeneration, and neuroprotective regulation [381]. Enhancement of synaptic architecture and restoration of LTP are increasingly recognized as important therapeutic strategies for delaying cognitive decline [382]. Therefore, phytochemicals capable of modulating neurotrophic signaling and synaptic remodeling pathways may offer multi-target therapeutic potential for preserving neuronal resilience, memory function, and healthy brain aging [383].

5.2.6. Blood–Brain Barrier Permeability and CNS Bioavailability of Phytochemicals

The ability of herbal phytochemicals to penetrate the BBB and attain adequate CNS bioavailability is crucial to their therapeutic effectiveness in neurodegenerative diseases. The BBB is a highly selective neurovascular interface composed of endothelial cells, astrocytes, pericytes, and tight junction proteins that regulate molecular transport into the brain [384]. BBB dysfunction has been associated with increased neuroinflammation, oxidative stress, impaired amyloid-β clearance, and neuronal degeneration in AD and related disorders. Several phytochemicals, including curcumin, ginsenosides, bacosides, epigallocatechin gallate (EGCG), and resveratrol, have demonstrated the ability to cross the BBB through passive diffusion, carrier-mediated transport, or lipid-associated mechanisms [385,386]. In addition to their neuroprotective effects, these compounds may help preserve BBB integrity by modulating tight junction proteins such as occludin, claudin-5, and zonula occludens-1 (ZO-1), thereby reducing endothelial dysfunction and neuroinflammatory signalling [387,388]. Curcumin and resveratrol have been reported to attenuate BBB disruption through antioxidant and anti-inflammatory mechanisms, whereas ginsenosides and bacosides may improve cerebral circulation and neuronal signalling. EGCG has also shown protective effects against amyloid-induced vascular injury and endothelial dysfunction [389].
Despite their therapeutic potential, many phytochemicals exhibit poor oral bioavailability and limited BBB permeability due to rapid metabolism and low solubility [390]. To overcome these limitations, advanced drug-delivery systems such as nanoparticles, liposomes, nanoemulsions, and polymer-based carriers have been increasingly explored to enhance CNS targeting and improve pharmacokinetic stability [391]. In experimental models, nanoformulated phytochemicals demonstrated improved BBB penetration, prolonged circulation time, and enhanced neuroprotective efficacy [392]. These nanotechnology-assisted approaches may therefore improve the translational potential of herbal neurotherapeutics for cognitive and neurodegenerative disorders.

5.3. Herbal Medicine for the Prevention and Treatment of Alzheimer’s Disease

The recent failure of medications aimed at tau deposits raises questions about comprehension of the intricate biology of AD [393]. This emphasizes the necessity to investigate additional pathophysiological factors, including autophagic dysfunction, chronic neuroinflammation, oxidative damage, metal ion dyshomeostasis, excitotoxic neurotransmission, gut microbiota imbalance, endoplasmic reticulum stress, altered cholesterol metabolism, metabolic regulatory dysfunction of insulin or glucose, and pathogenic infections, that contribute to AD [394,395]. Despite their prolonged heritage of therapeutic practice and apparent safety and effectiveness, herbs and herbal medicines have sadly received little scientific research [396]. Traditional medical practices propose a variety of plants and their components to improve neurocognitive performance and relieve auxiliary signs of AD, such as depression, amnesia, and poor cognition. The recommendation for plant-based amalgamation usually depends on how complicated the problem is. The reasoning behind this is that the herb’s bioactive components may both operate in concert with one another and modify the actions of other components derived from the same or different plant species [396]. The reasons for selecting bioactive botanicals are: (a) their enduring role in folk medicine for treating memory dysfunction, including AD, (b) assessment of plant-derived nutraceuticals composition from these plants with potential therapeutic benefits for AD, (c) the evaluation of their neuropharmacological activities, and (d) laboratory and patient-based studies provide converging evidence for their neuroprotective and memory-enhancing properties. Herbal medicine has emerged as a promising complementary approach for the management of Alzheimer’s disease. Certain phytochemicals derived from medicinal plants may improve cognitive function through antioxidant, anti-inflammatory, and neuroprotective mechanisms. Plants rich in antioxidants like flavonoids, beta-carotene, vitamin C, and vitamin E may help mitigate neurodegenerative symptoms by addressing oxidative stress, which is scientifically linked to the advancement of Alzheimer’s pathology [397,398].

5.4. Clinical Applications of Plant-Based Interventions for Alzheimer’s Management

Although the precise biochemical mechanisms underlying AD remain incompletely understood, it is widely accepted that the disorder is multifactorial and that aging is the strongest risk factor. Despite more than fifty therapeutic candidates successfully completing phase II clinical trials over the past decade, none have progressed to phase III trials [399]. Several herbal medicines and botanical extracts have been clinically evaluated in humans for their potential cognitive benefits relevant to AD and mild cognitive impairment (MCI).
Clinical studies investigating diosgenin-rich yam extract demonstrated that oral supplementation produced measurable cognitive improvements in healthy adults aged 20–81 years. Notably, older participants (≥47 years old) showed significant enhancement in the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) total score, marking the first evidence that diosgenin-containing extracts can improve human cognitive performance [400]. Similarly, an ethanolic extract of spearmint (Mentha spicata L.) was evaluated in a randomized, double-blind, placebo-controlled trial involving adults with age-associated memory impairment. Across 90 days of supplementation, participants receiving 900 mg/day exhibited significant improvements in working memory quality and spatial working memory compared with placebo, as assessed using the cognitive drug research system. Additional benefits included improved vigor-activity scores and enhanced subjective sleep quality, suggesting broader neuro-modulatory effects beyond cognitive enhancement [325].
A randomized placebo-controlled trial examining Salicornia europaea L. ethanol extract (PM-EE) further supported the cognitive benefits of herbal interventions. After accounting for study withdrawals and compliance issues, data from 53 participants revealed that PM-EE supplementation resulted in greater improvements in cognitive performance than placebo in individuals with memory impairment but without dementia, demonstrating both safety and clinical potential [401]. Clinical evaluation of Ashwagandha (Withania somnifera (L.) Dunal) in patients seeking treatment for MCI also yielded promising outcomes. In a prospective, randomized, double-blind, placebo-controlled pilot trial involving 50 participants, Ashwagandha root extract significantly enhanced attention, executive function, immediate and general memory, visuospatial skills, and information-processing speed. These findings indicate that Ashwagandha may offer cognitive support for individuals with MCI while presenting minimal risk [402].
Finally, the cognitive effects of Zanthoxylum armatum DC. The purified compound was assessed using a double-blind, parallel-group, placebo-controlled design evaluating both acute and chronic responses. Across assessments conducted pre-dose and at 1, 3, and 5 h post-dose on day 1, as well as after 56 days of supplementation, the hydroxy-α-sanshool-rich–rich extract produced consistent enhancements in cognitive task performance, primarily reflected in improved cognitive processing speed. In an optional cerebral blood flow sub-study, the extract significantly improved CBF and reduced frontal-cortex hemodynamic responses during cognitively demanding tasks, suggesting increased neural efficiency and improved cerebrovascular function [403].

5.5. Limitations of Clinical or Preclinical Trial

Although herbal medicines have shown significant promise in modulating cognitive functions and slowing neurodegenerative processes, several key limitations remain in both clinical and preclinical studies. Preclinical research has demonstrated that numerous phytochemicals, including phenolic compounds, flavonoids, terpenoids, and alkaloids, possess neuroprotective potential through their antioxidant activity, anti-inflammatory effects, preservation of mitochondrial function, and modulation of neurotransmitter systems [126,267]. However, the translation of these findings into clinical effectiveness remains challenging. Major issues include small sample sizes in clinical trials, short study durations, variability in herbal preparation methods, lack of standardized dosages, and inconsistencies in outcome measures. These limitations restrict the reproducibility, reliability, and generalizability of current findings and highlight the need for well-designed trials and long-term follow-up assessments [404].
The interconnected mechanisms underlying neurodegeneration, including oxidative stress, mitochondrial dysfunction, neuroinflammation, disruptions in the BBB, synaptic deterioration, and β-amyloid/tau aggregation, are summarized in Figure 4 [405]. This figure also illustrates how key phytochemicals such as curcumin, resveratrol, and polyphenols counteract these pathogenic pathways through antioxidant activity, suppression of inflammatory cascades, inhibition of Aβ/tau aggregation, enhancement of mitochondrial function, and stabilization of neuronal integrity [406,407]. These mechanistic insights provide a strong rationale for exploring herbal compounds in the management of cognitive decline; however, the clinical translation of these mechanisms remains limited due to poor bioavailability, extensive first-pass metabolism, rapid clearance, and inconsistent therapeutic concentrations in the central nervous system [408,409].
Beyond these mechanistic limitations, substantial heterogeneity exists in clinical studies regarding patient demographics, cognitive assessment tools, and treatment durations [262]. Many herbal interventions are studied as multi-component formulations, making it difficult to attribute benefits to specific bioactive molecules [411]. In addition, variations in extraction methods, plant part selection, cultivation conditions, and phytochemical composition contribute to inconsistencies between studies and reduce reproducibility [412]. Several studies also lack placebo controls or double-blind designs, limiting the strength and reliability of the clinical evidence [413]. Pharmacokinetic limitations remain another major challenge in translating herbal compounds into clinical applications. Bioactive constituents such as curcumin, ginsenosides, bacosides, and resveratrol often exhibit poor solubility, low gastrointestinal absorption, rapid metabolism, and limited BBB penetration, resulting in reduced bioavailability and inconsistent therapeutic efficacy [414]. Nanotechnology-based delivery systems, including liposomes, phytosomes, nano-emulsions, and polymeric nanoparticles, have shown promise in enhancing bioavailability, improving BBB penetration, and increasing therapeutic effectiveness, although these approaches remain underrepresented in clinical trials [415]. In addition to methodological limitations, safety concerns, herb–drug interactions, and standardization issues remain major barriers to the clinical translation of herbal medicines.

5.5.1. Herb–Drug Interactions and Standardization Challenges

Safety, herb–drug interactions, and standardization issues also require careful consideration. Herbal compounds may interact with medications commonly prescribed to elderly patients, including cholinesterase inhibitors, antidepressants, anticoagulants, and antiplatelet agents [416]. For example, Ginkgo biloba has antiplatelet activity that may increase bleeding risk when administered alongside aspirin or warfarin [417]. Several phytochemicals may also modulate cytochrome P450 enzymes, including CYP3A4, CYP2D6, and CYP2C9, thereby altering drug metabolism, therapeutic activity, and toxicity profiles [418]. Such interactions may increase the risk of adverse effects, particularly in patients with multiple comorbidities and polypharmacy [419].
Another major challenge is the lack of standardization and quality control in herbal preparations. Variability in cultivation conditions, harvesting methods, extraction procedures, and concentrations of bioactive constituents may lead to inconsistent therapeutic outcomes and reduced reproducibility across clinical studies. Furthermore, concerns have been raised regarding hepatotoxicity, microbiological contamination, pesticide residues, heavy metal accumulation, and synthetic drug adulteration in certain herbal products [420]. Therefore, standardized formulations, rigorous quality control measures, and comprehensive safety evaluations are essential to improve the clinical reliability and regulatory acceptance of herbal medicines. Future studies should incorporate pharmacokinetic, toxicological, and herb–drug interaction assessments to support the safe integration of herbal therapies into evidence-based management strategies for neurodegenerative diseases. These challenges highlight the importance of rigorous pharmacovigilance systems, standardized manufacturing procedures, toxicological evaluation, and herb–drug interaction studies to improve the clinical reliability and translational applicability of herbal therapies.
Despite these limitations, increasing scientific evidence supports the therapeutic potential of medicinal plants and phytochemicals in modulating neuroinflammation, oxidative stress, mitochondrial dysfunction, and amyloid/tau pathology associated with AD [421,422,423]. Several plant-derived metabolites have already progressed to commercialization and clinical use [424]. The following sections summarize selected medicinal plants and herbal compounds investigated for their neuroprotective and cognitive-enhancing effects in AD.

5.5.2. Ashwagandha (Withania somnifera)

Withania somnifera has demonstrated neuroprotective potential in several neurodegenerative disorders, including AD, PD, and Huntington’s disease [425]. Its therapeutic effects are associated with modulation of oxidative stress markers such as glutathione (GSH), catalase, lipid peroxidation, and superoxide dismutase (SOD), together with promotion of axonal and dendritic regeneration [426]. Withaferin-A, one of the major active components of Ashwagandha, has shown promise in AD. It reduces the aggregation of β-amyloid and tau proteins, helps regulate heat shock protein production, and suppresses oxidative and pro-inflammatory pathways [427]. Experimental studies further demonstrated that Ashwagandha improves spatial memory, enhances synaptic plasticity markers, and reduces phosphorylated NF-κB levels, indicating anti-inflammatory activity [428]. Clinical evidence suggests that supplementation with 500–600 mg/day for 8–12 weeks may improve memory, executive function, sustained attention, and processing speed in individuals with mild cognitive impairment and early-stage dementia [429].

5.5.3. Brahmi (Bacopa monnieri)

Bacopa monnieri is widely recognized for its nootropic and memory-enhancing properties [430]. Its neuroprotective activity is mainly attributed to bacosides, alkaloids, and other secondary metabolites that support synaptic activity, neurotransmission, and neuronal repair [431]. Experimental studies indicate that Brahmi reduces oxidative stress, enhances cholinergic activity, and improves learning and memory performance [432]. Clinical investigations have shown that Bacopa monnieri supplementation improves cognitive performance, including executive function, attention, delayed recall, verbal fluency, and visuospatial processing [433]. In addition, treatment with Brahmi extract reduced oxidative stress markers such as hydroperoxides, malondialdehyde, and ROS while restoring cholinergic enzyme activity, suggesting potential protective effects against neurodegeneration [434].

5.5.4. Cat’s Claw (Uncaria tomentosa)

Uncaria tomentosa has attracted attention as a potential therapeutic candidate for AD due to its anti-inflammatory and neuroprotective activities [435]. Polyphenolic compounds, particularly proanthocyanidin B2, have demonstrated the ability to reduce Aβ plaque burden, gliosis, astrocytosis, and neuroinflammation in transgenic AD mouse models while improving short-term memory performance [435]. Additional evidence suggests that cat’s claw extracts inhibit oxidative stress and modulate pathways associated with neurodegeneration. Although preclinical findings are promising, further clinical studies are required to validate its efficacy and long-term safety in AD management [436].

5.5.5. Moringa olifera

Moringa oleifera exhibits significant antioxidant and neuroprotective properties relevant to AD management [437,438]. Experimental studies indicate that its extracts reduce reactive oxygen species production, protect neuronal tissue from oxidative damage, and enhance cholinergic signaling through inhibition of acetylcholinesterase activity [439]. Recent studies also suggest that M. oleifera phytochemicals modulate AD-related mechanisms involving neuroinflammation, tau pathology, and β-amyloid accumulation [440]. Glucomoringin, one of its major bioactive compounds, has demonstrated anti-inflammatory and neuroprotective activity in experimental models, although additional clinical studies are required to confirm its therapeutic efficacy and long-term safety [441].

5.5.6. Ginseng

Ginseng contains several neuroactive constituents, including ginsenosides, polysaccharides, and gintonin, which contribute to its cognitive-enhancing and neuroprotective properties [442,443]. Experimental studies have demonstrated that ginseng extracts reduce neuroinflammation, improve cholinergic signaling, and enhance synaptic plasticity in neurodegenerative disease models [444]. Clinical evidence suggests that short-term and long-term supplementation with ginseng extract may improve working memory and cognitive performance in healthy individuals and patients with early AD [442,443]. However, further well-designed clinical studies are necessary to determine optimal dosage, formulation standardization, treatment duration, and long-term safety [445].

5.5.7. Ginkgo biloba

Ginkgo biloba contains several bioactive compounds, particularly flavonoids and terpene trilactones, which contribute to its neuroprotective and cognition-enhancing properties [301]. The standardized extract EGb 761 has been extensively investigated for improving cerebral blood flow, reducing oxidative stress, decreasing amyloid-β accumulation, and enhancing neuronal metabolism [446,447,448]. Clinical studies in patients with AD and dementia demonstrated modest improvements in cognitive performance, including MMSE, ADAS-Cog, and CGIC scores, following EGb 761 supplementation [449]. However, additional large-scale and long-term clinical trials are required to confirm its therapeutic efficacy, optimal dosage, and long-term safety in neurodegenerative disorders [450].

5.5.8. Glycyrrhiza glabra

Glycyrrhiza glabra (licorice) contains several bioactive compounds, including glycyrrhizin, liquiritigenin, licochalcone A, and flavonoids, which exhibit antioxidant, anti-inflammatory, and neuroprotective activities [451,452]. Experimental studies demonstrated that licorice extracts improve learning and memory by enhancing cholinergic neurotransmission, reducing oxidative stress, and suppressing amyloid-β aggregation [453]. Additional studies reported that Glycyrrhiza inflata extracts reduced mitochondrial dysfunction and oxidative damage while improving neuronal survival [454]. These findings suggest that Glycyrrhiza species may provide neuroprotective benefits in AD through modulation of oxidative stress and neuroinflammatory pathways.

5.5.9. Curcuma Plants

Curcuma longa and its major active compound curcumin have attracted substantial interest because of their antioxidant, anti-inflammatory, and anti-amyloidogenic properties [455]. Experimental studies demonstrated that curcumin reduces oxidative stress, suppresses neuroinflammation, inhibits acetylcholinesterase activity, and protects against neuronal degeneration in multiple AD-related models [456,457,458,459]. Curcumin has also been shown to decrease amyloid-β aggregation and improve cognitive performance in animal studies [460]. Despite promising neuroprotective effects, its clinical application remains limited due to poor bioavailability and rapid metabolism.

5.5.10. Pistachio vera

Pistacia vera contains several neuroprotective phytochemicals, including flavonoids, resveratrol, lutein, anthocyanins, and unsaturated fatty acids [461]. Oleic acid and linolenic acid present in pistachio have been associated with antioxidant activity, neuroprotection, and improved neuronal membrane function [462,463,464]. β-sitosterol, one of its major bioactive compounds, demonstrated protective effects against cognitive and motor impairments induced by neurotoxic agents [465]. These findings suggest that Pistacia vera may contribute to cognitive protection through antioxidant and anti-inflammatory mechanisms.

5.5.11. Phyllanthus acidus

Phyllanthus acidus possesses polyphenolic compounds with antioxidant and cholinesterase inhibitory activities relevant to AD management [466]. Experimental studies demonstrated that extracts from Phyllanthus species inhibit AChE and BuChE, thereby enhancing cholinergic neurotransmission [466]. The plant also exhibits antioxidant and anti-inflammatory properties that may help reduce neurodegenerative damage associated with AD [467]. However, evidence supporting its clinical efficacy remains limited, and additional mechanistic and human studies are necessary.

5.5.12. Emerging Herbal Candidates for Cognitive Protection

Melissa officinalis has demonstrated anxiolytic, antioxidant, and cholinergic modulatory activities that may improve memory and cognitive performance [468]. Clinical studies suggest that lemon balm extract may reduce agitation and cognitive decline in patients with mild to moderate AD through regulation of cholinergic neurotransmission and oxidative stress pathways [469]. Salvia officinalis and Rosmarinus officinalis have also shown promising neuroprotective effects due to their rich polyphenolic and terpenoid content. Experimental and clinical studies indicate that these herbs exhibit antioxidant, anti-inflammatory, and acetylcholinesterase inhibitory activities, which may improve working memory, attention, and cognitive processing speed while reducing neuronal oxidative damage [470]. Hericium erinaceus (lion’s mane mushroom) has attracted increasing attention because of its ability to stimulate nerve growth factor synthesis and support neuronal regeneration. Experimental and clinical evidence suggests that supplementation with H. erinaceus may enhance neuroplasticity, reduce neuroinflammation, and improve cognitive function [471,472]. Crocus sativus (saffron) has also demonstrated therapeutic potential in AD through antioxidant, anti-inflammatory, and anti-amyloidogenic mechanisms [473]. Clinical studies reported that saffron supplementation improved cognitive performance and exhibited efficacy comparable to conventional anti-Alzheimer’s medications, with fewer adverse effects [474]. Collectively, these emerging herbal candidates further support the therapeutic potential of plant-derived compounds in neurodegenerative disorders through multi-target modulation of oxidative stress, neuroinflammation, synaptic plasticity, and neurotransmitter regulation. The cognitive and metabolic effects, therapeutic dosages, and proposed mechanisms of selected traditional medicinal extracts reported in clinical and experimental studies are summarized in Table 5.

6. Conventional Herbal Medicine Treatment for Moderate Cognitive Impairment and Early-Stage AD Based on Syndrome Differentiation

Herbal medicine has demonstrated promising therapeutic potential in improving cognitive function in patients with AD and MCI. Several studies have reported improvements in widely used cognitive assessment tools, including the Mini-Mental State Examination (MMSE), ADAS-Cog, and Montreal Cognitive Assessment (MoCA), following herbal medicine interventions [484]. Herbal therapies have also shown benefits in MCI, which is considered a prodromal stage preceding dementia and currently lacks fully effective pharmacological treatment options [485]. However, considerable variability exists among clinical studies due to differences in herbal formulations, treatment duration, and syndrome differentiation (SD)-based therapeutic approaches used in TCM. Therefore, understanding SD is important for interpreting the rationale, personalization, and clinical outcomes of herbal medicine interventions in cognitive impairment and early-stage AD.

6.1. Overview of Syndrome Differentiation in Cognitive Impairment and AD

Syndrome differentiation (SD), also known as pattern identification, is a core diagnostic principle in TCM that classifies patients according to characteristic symptom patterns, functional disturbances, and underlying pathophysiological imbalances rather than relying solely on a single disease diagnosis [486]. In cognitive impairment and AD, different SD patterns, including kidney deficiency, phlegm obstruction, blood stasis, qi stagnation, and heart–spleen deficiency, are believed to reflect distinct pathological and clinical states associated with disease progression [487]. Unlike conventional approaches that apply a uniform treatment strategy, SD-guided therapy aims to personalize herbal interventions according to the patient’s specific syndrome pattern and symptom presentation. This individualized approach may support multi-target therapeutic modulation involving neuroinflammation, oxidative stress, neurotransmitter imbalance, and cerebral circulation. Therefore, SD-based herbal medicine represents a personalized therapeutic framework that may improve clinical management strategies for mild cognitive impairment (MCI) and early-stage AD.
The efficacy of herbal medicine prescriptions has been evaluated in patients with MCI according to SD patterns such as hepatic yang hyperactivity, renal insufficiency, and qi deficiency [488]. Previous studies in elderly patients with MCI reported deficiency syndromes involving the kidney system, spleen qi, and heart blood, together with excess syndromes including phlegm accumulation, blood stasis, and liver qi stagnation [489]. Combined deficiency–excess patterns were also frequently observed. Clinical findings further suggest that SD-guided herbal therapy may provide greater therapeutic benefits during moderate stages of AD than in severe stages, particularly in patients with cardiac qi deficiency and depletion of renal essence, as reflected by improved MMSE and activities of daily living scores [490]. These findings support the potential role of SD-based herbal medicine as a personalized and multi-target therapeutic strategy for cognitive impairment and early-stage AD. However, additional large-scale clinical studies, longitudinal investigations, and real-world data analyses are still required to validate SD classifications and optimize individualized treatment strategies during disease progression.

6.2. Finding Transcriptomic Peripheral Blood Indicators and Creating Herbal Medicine Treatments for Every Stage of Cognitive Decline

Patients with AD exhibit a strong blood–brain association, where peripheral blood transcriptomic profiles reflect systemic and neuropathological alterations associated with disease progression [491]. Studies have shown that AD and MCI share several pathological mechanisms, including dysregulated immune responses, impaired energy metabolism, oxidative stress, and altered cell survival signaling [492]. Transcriptomic analyses further demonstrated progressive molecular changes during the transition from prodromal MCI to moderate and severe AD, including altered oxidative phosphorylation, ribosomal activity, and decreased ABCB1 expression, a biomarker associated with AD progression [488]. Comparative transcriptomic studies revealed that many molecular pathways altered in MCI are also dysregulated in AD dementia, supporting the concept that MCI represents an early transitional stage of neurodegeneration [493]. However, some molecular signatures differ according to disease stage. Mid-stage AD has been associated with reduced pathways related to ionic balance, cytoskeletal organization, and signal transmission, whereas inflammatory and neuronal activity pathways are increased [494]. Gene set enrichment analyses also identified alterations in synaptic and mitochondrial functions as important early pathogenic events during AD progression [495].
Recent investigations have identified several transcriptomic biomarkers associated with disease conversion and progression. Reduced interferon signaling and lower STAT1 expression were associated with increased risk of conversion from subjective cognitive decline to MCI [496,497]. Similarly, altered MS4A6A expression patterns suggest that MCI may represent a compensatory transitional phase before the development of advanced AD pathology [497]. Machine-learning approaches integrating transcriptomic, biochemical, and genetic markers such as EEF2 and RPL7 have also demonstrated promising predictive accuracy for identifying individuals at high risk of MCI and AD progression [498]. Notably, blood transcriptomic signatures predicted progression from MCI to AD with more than 70% accuracy, outperforming some radiological predictors [499]. Collectively, these findings suggest that peripheral blood transcriptomics may provide valuable biomarkers for early diagnosis, patient stratification, and personalized herbal therapeutic strategies in AD [500].

6.3. Finding Biomarkers for Neuroimaging and Creating a Natural Medicine Treatment for Cognitive Impairment

AD progression is associated with structural and functional brain disorganization that leads to impaired neuronal connectivity and cognitive decline [501]. Functional connectivity within the default mode network has emerged as a potential neuroimaging biomarker for AD [502]. Studies reported that prolonged Bushen capsule therapy improved connectivity in the right precuneus and other regions of the default mode network, which correlated with improvements in neuropsychological assessments [503]. Additional established neuroimaging biomarkers include FDG-PET measurements of cerebral glucose metabolism, beta-amyloid deposition, hippocampal and cortical atrophy detected by MRI, and alterations in regional cerebral blood flow (rCBF) [504,505]. Herbal interventions such as toki-shakuyaku-san significantly improved rCBF in the posterior cingulate region and enhanced positional awareness in patients with MCI and AD [506]. Similarly, Chotosan administration improved MMSE scores and reduced P300 latency, suggesting beneficial effects on cognitive processing and neuroelectrical activity [507]. Other traditional herbal formulations containing astragalus, ginseng, Pueraria, and related medicinal plants also demonstrated improvements in MMSE performance and electrophysiological parameters [508]. Furthermore, Korean red ginseng has been associated with enhanced frontal lobe activity and increased relative alpha power in AD patients [509]. Functional MRI studies of compound congrongyizhi capsule also demonstrated altered activity in the posterior cingulate, inferior frontal cortex, and lingual cortex following treatment [510].
Although neuropsychological assessments remain clinically important, neuroimaging approaches provide objective and non-invasive measurements of neural activity and treatment response. Therefore, integrating neuroimaging biomarkers into herbal medicine research may improve evaluation of therapeutic efficacy and support the development of personalized interventions for cognitive impairment and AD.

6.4. Gut Microbiota, SD Phenotypes, and Personalized Herbal Therapy

Recent studies have highlighted the important role of the gut–brain axis in the progression of AD and MCI. Alterations in gut microbiota composition have been associated with neuroinflammation, oxidative stress, amyloid accumulation, and cognitive decline through immune signaling and microbial metabolite production [511]. Short-chain fatty acids (SCFAs), including acetate, propionate, and butyrate, are important microbial metabolites that help regulate intestinal barrier integrity, neuroimmune responses, and inflammatory signaling pathways relevant to neurodegeneration [354]. Emerging evidence suggests that specific SD patterns may also be associated with distinct microbiota profiles and metabolic alterations. For example, SD patterns involving phlegm accumulation, qi stagnation, and spleen deficiency have been linked to intestinal dysbiosis and altered inflammatory responses [512]. These findings support the possibility that microbiota-associated SD phenotypes may reflect different biological and pathophysiological states in patients with cognitive impairment.
Within this framework, herbal medicines may exert therapeutic effects partly through modulation of the gut microbiota and gut–brain signaling pathways. Several herbal compounds and polyherbal formulations have been shown to restore microbial balance, reduce systemic inflammation, and improve SCFA production [513]. Therefore, integrating SD classification with microbiome profiling may contribute to the development of personalized and microbiome-responsive herbal therapies for AD and MCI. Future studies combining microbiome analysis, metabolomics, and clinical SD evaluation may improve patient stratification and optimize individualized treatment strategies in neurodegenerative disorders.

6.5. Improvements in Formulation and Delivery

Recent advances in formulation science and targeted delivery systems have therefore been developed to improve the therapeutic efficacy of herbal bioactive compounds in cognitive disorders. Nanotechnology-based delivery systems, including nanoparticles and liposomes, have shown significant promise in enhancing BBB penetration and improving neuroprotective effects. Evidence from nanotechnology-based applications in other disease models, including lung cancer, has similarly demonstrated that nanoparticle-mediated systems improve targeted drug delivery efficiency and diagnostic precision, further supporting the broader translational potential of nanomedicine for neurological disorders [514]. Nano-formulated compounds such as curcumin and Ginkgo biloba extracts demonstrated enhanced cognitive benefits and neuroprotection, while liposomal formulations of Centella asiatica improved stability and brain-targeted delivery [515]. Recent advancements in bioactive natural products combined with nanoparticle-mediated delivery systems have further demonstrated improved compound stability, bioavailability, and therapeutic targeting [516]. Another important strategy involves increasing the bioavailability of herbal compounds using phytosomes and nanoemulsions. Phytosome-based Bacopa monnieri formulations showed improved brain uptake, whereas nanoemulsified ashwagandha oil enhanced the delivery of lipophilic bioactive compounds and improved cognitive outcomes [515]. However, despite encouraging preclinical findings, the majority of this delivery systems remain insufficiently validated in large-scale human clinical studies, and their long-term therapeutic efficacy and safety profiles are not yet fully established.
Sustained and controlled release systems have also improved the stability and therapeutic delivery of herbal compounds. Hydrogels containing curcumin enabled prolonged and targeted release of bioactive molecules, thereby enhancing neuroprotective and anti-inflammatory effects [517]. Recent developments in stimulus-responsive hydrogels using dynamic boronic acid ester bonds further improved curcumin bioavailability and controlled-release properties [518].
Nevertheless, several important challenges remain unresolved, including manufacturing consistency, regulatory approval, long-term biocompatibility, potential nanotoxicity, hepatic accumulation, and altered herb–drug interactions resulting from enhanced systemic exposure [519,520,521]. Therefore, although advanced delivery systems may improve herbal compound delivery and bioavailability, further rigorous clinical evaluation and standardized safety assessments are required before their widespread clinical application in cognitive and neurological disorders can be fully established [189,519,520,522,523].

6.6. Regulatory and Quality Control Challenges in SD-Based Herbal Neurotherapeutics

Despite the growing therapeutic potential of herbal medicines in neurodegenerative disorders, several regulatory and quality-control challenges continue to limit the translational applicability of SD-based herbal formulations [524]. One major concern is batch-to-batch variability, as the phytochemical composition of medicinal plants can be significantly influenced by geographical origin, cultivation conditions, harvesting time, processing procedures, and storage conditions [525]. These variations are particularly problematic in polyherbal and syndrome differentiation (SD)-guided formulations, where complex interactions among multiple bioactive constituents complicate standardization, reproducibility, and therapeutic consistency.
Accurate authentication of medicinal plants is also essential to prevent species misidentification, substitution, contamination, and adulteration. Advanced analytical approaches, including chromatographic fingerprinting, metabolomic profiling, and DNA barcoding, are increasingly used to ensure botanical authenticity and product quality [526]. Pharmacokinetic variability represents another major challenge, as the absorption, metabolism, and bioavailability of herbal compounds may differ among individuals depending on age, disease condition, gut microbiota composition, and genetic background [527]. In addition, inconsistencies in herbal composition, extraction protocols, dosage regimens, and patient stratification contribute to reproducibility limitations in SD-guided clinical trials, thereby reducing translational credibility and regulatory acceptance. Therefore, rigorous quality-control systems, standardized manufacturing procedures, and harmonized clinical evaluation strategies are essential to improve the safety, reproducibility, and therapeutic reliability of herbal neurotherapeutics [528]. Future integration of omics technologies and globally standardized regulatory frameworks may further enhance the clinical translation and evidence-based application of herbal medicines for neurodegenerative diseases.

6.7. Safety Considerations and Herb–Drug Interactions in AD Patients

Safety concerns and herb–drug interactions remain major clinical considerations in elderly patients with AD, particularly because of polypharmacy and long-term medication use [529]. Although herbal medicines demonstrate promising neuroprotective effects in neurodegenerative disorders, several widely used herbal compounds, including ginseng, curcumin, licorice, and Ginkgo biloba, can interact with prescription medications through pharmacodynamic and pharmacokinetic mechanisms [530]. Foeniculum vulgare has likewise been recognized for its diverse phytochemical constituents and documented safety and herb–drug interaction profile, further emphasizing the need for careful clinical evaluation of herbal medicines in elderly AD patients [284]. For example, Ginkgo biloba has been associated with an increased risk of bleeding when co-administered with anticoagulants or antiplatelet agents such as aspirin and warfarin [531]. Ginseng may influence blood glucose regulation and alter the therapeutic effects of psychotropic medications, whereas excessive licorice consumption has been linked to hypertension, hypokalemia, and corticosteroid-like adverse effects [532]. In addition, curcumin and several herbal phytochemicals can modulate cytochrome P450 (CYP450) enzymes, thereby affecting the metabolism, bioavailability, and toxicity of cholinesterase inhibitors, antidepressants, antipsychotics, and other centrally acting medications [418]. Long-term or high-dose use of certain herbal supplements may also increase the risk of hepatotoxicity, gastrointestinal complications, and metabolic disturbances in susceptible individuals. These concerns are particularly important in elderly patients with impaired metabolic function, multiple comorbidities, and complex medication regimens. Therefore, the safe integration of herbal medicines into neurodegenerative disease management requires rigorous pharmacovigilance, standardized dosing strategies, careful clinical monitoring, and evidence-based safety evaluation. Future clinical studies should prioritize long-term safety assessment, herb–drug interaction profiling, and individualized risk evaluation in elderly neurodegenerative populations. Integrating pharmacogenomics, therapeutic monitoring, and precision-based prescribing approaches may further improve the safety and clinical applicability of herbal neurotherapeutics. A structured evidence and safety grading of selected herbal neurotherapeutics is summarized in Table 6.

6.8. Integration of Multi-Omics and Biomarkers in Precision Medicine for Neurodegeneration Protection

Precision medicine has emerged as an important strategy in neurodegenerative diseases by emphasizing patient-specific therapeutic approaches rather than a uniform treatment model. In AD, PD, and related disorders, disease heterogeneity is increasingly recognized at molecular, cellular, and systemic levels [543]. Multi-omics approaches, particularly transcriptomics, enable the identification of patient-specific gene expression patterns associated with neuroinflammation, synaptic dysfunction, and neuronal degeneration [544]. In parallel, neuroimaging biomarkers derived from MRI and PET imaging provide valuable structural and functional information for early diagnosis and disease progression monitoring. Additionally, gut microbiome signatures have been linked to neurodegenerative pathology through modulation of immune responses, microbial metabolites, and gut–brain axis signaling [545,546,547].
Within this framework, SD and individualized herbal interventions align closely with the principles of personalized medicine. Herbal formulations may differentially regulate molecular pathways depending on the patient’s biological profile and disease characteristics. Recent advances in artificial intelligence (AI) and machine learning further support precision medicine approaches by integrating transcriptomic, neuroimaging, and microbiome-derived datasets for patient stratification and individualized therapeutic selection [548]. AI-assisted analyses may also help predict patient-specific responses to herbal bioactive compounds, thereby improving therapeutic efficacy while minimizing adverse effects. Collectively, these integrative strategies highlight the growing potential of precision medicine to support targeted and adaptive interventions for complex neurodegenerative diseases [549].

6.9. Challenges and Limitations

Despite the growing therapeutic interest in herbal medicines for neurological and cognitive disorders, several important challenges and limitations remain. One major concern is the lack of standardized formulations and dosing protocols, which may lead to inconsistent therapeutic outcomes. Variability in cultivation conditions, harvesting methods, extraction procedures, and phytochemical composition further complicates reproducibility and quality control across studies [550,551,552]. In addition, herbal medicine regulations differ considerably among countries, making it difficult to establish globally harmonized standards for safety, efficacy, and product quality.
The overall quality of current clinical evidence also remains variable. Many published studies involve relatively small sample sizes, short intervention durations, and limited multicenter validation [87,391]. Furthermore, several studies lack randomized, placebo-controlled, or double-blinded designs, thereby reducing the strength and reproducibility of the findings [553]. Many SD-guided herbal studies are also region-specific, particularly within East Asian healthcare systems, which may limit their international generalizability. In addition, the absence of internationally standardized SD criteria contributes to inconsistencies in patient classification, herbal prescriptions, and therapeutic outcomes [554].
Safety concerns also remain important, particularly in elderly patients with polypharmacy. Herbal medicines may interact with conventional medications and produce adverse effects, especially when used at high doses or for prolonged periods [555]. Moreover, the blood–brain barrier may limit the ability of certain herbal compounds to effectively reach the central nervous system, thereby reducing therapeutic efficacy in neurological disorders [556]. Publication bias may further influence the interpretation of the available evidence, as studies reporting positive outcomes are more likely to be published than negative or inconclusive findings. Therefore, additional large-scale, multicenter, randomized, placebo-controlled clinical trials with standardized formulations and harmonized SD criteria are required to improve scientific rigor, reproducibility, and translational credibility in herbal neurotherapeutics [557].

6.10. Safety Concerns and Herb-Induced Liver Injury

Despite increasing interest in herbal neurotherapeutics for cognitive and neurological disorders, important safety concerns remain inadequately addressed. Although herbal medicines are often perceived as natural and therefore inherently safe, accumulating clinical evidence indicates that herbal products may contribute to herb-induced liver injury (HILI), particularly in elderly and poly-medicated individuals [558]. HILI has emerged as a growing global clinical challenge due to increased consumption of herbal supplements, variable product quality, and difficulties associated with causality assessment [559]. The clinical presentation of HILI is highly heterogeneous and may range from asymptomatic elevation of liver enzymes to severe hepatocellular injury, cholestatic liver injury, mixed-pattern hepatotoxicity, and, in rare cases, acute liver failure [558]. Several contributing factors have been associated with HILI development, including prolonged herbal consumption, excessive dosages, contamination with heavy metals or pesticides, product adulteration, inconsistent manufacturing processes, and variability in herbal composition. Multi-ingredient herbal formulations may further complicate identification of hepatotoxic components and increase the risk of unpredictable adverse reactions.
Drug-herb interactions represent another major concern in patients with cognitive disorders, who are commonly treated with multiple medications including cholinesterase inhibitors, antidepressants, antipsychotics, dopaminergic agents, and cardiovascular therapies [560]. Certain herbal compounds may influence cytochrome P450 enzymes, alter hepatic metabolism, or potentiate pharmacological effects, potentially leading to increased toxicity or altered therapeutic responses [561]. Older adults with neurodegenerative disorders may be particularly vulnerable because of age-related physiological decline, frailty, polypharmacy, impaired hepatic function, and reduced ability to accurately report herbal supplement intake [562]. Recent reports of skullcap-associated hepatotoxicity and other herbal-related liver injury cases further highlight the need for cautious clinical evaluation and rigorous pharmacovigilance. In addition, the absence of standardized formulations and regulatory inconsistencies across countries may contribute to variability in safety profiles and therapeutic outcomes [560,563]. Although advanced delivery systems such as nanoparticles and phytosomes may improve the bioavailability of herbal bioactive compounds, enhanced systemic exposure may also increase hepatic burden and potential toxicity risk [523]. Therefore, careful causality assessment, routine liver biochemistry monitoring in high-risk populations, standardized quality control, and large-scale clinical safety evaluations are essential before herbal neurotherapeutics can be more broadly integrated into the clinical management of cognitive and neurological disorders.

6.11. Future Directions

To ensure consistent therapeutic outcomes, future research should focus on developing standardized doses and formulations. Strong quality control procedures must be put in place to ensure the dependability and security of herbal medications [564]. More thorough, large-scale clinical research must be carried out to confirm the effectiveness and safety of herbal remedies. Evidence will be stronger if randomized, double-blind, placebo-controlled trial designs are used [565]. The goal of future studies should be to identify and assess novel herbal substances that may have positive effects on neurological and cognitive health. Working together with traditional healers and ethnobotanists might yield important information on new medicinal substances [562]. The bioavailability and effectiveness of herbal medications might be improved by using cutting-edge technologies like nanotechnology and bioinformatics, particularly when it comes to blood–brain barrier bridging [566]. Encouraging multidisciplinary research can result in novel herbal medicine techniques. Comprehensive approaches to treating neurological and cognitive problems can be fostered by cooperation between chemists, neurologists, pharmacologists, and other experts [126]. Strengthening the regulatory framework for herbal remedies is essential to guaranteeing their efficacy and security. Harmonising a trustworthy worldwide market for herbal medications might be facilitated by harmonizing laws across nations [567].

7. Conclusions

Herbal medicines represent promising complementary strategies for cognitive enhancement and neuroprotection through antioxidant, anti-inflammatory, and neurotransmitter-modulating activities. Bioactive compounds from herbs such as Bacopa monnieri, Withania somnifera, Ginkgo biloba, ginseng, Glycyrrhiza glabra, and Moringa oleifera have shown potential cognitive and neuroprotective effects in preclinical studies and selected clinical investigations. Advances in delivery systems, including nanoparticles, phytosomes, nanoemulsions, and hydrogels, may further improve the bioavailability, stability, and brain-targeting efficiency of herbal compounds.
Neurodegenerative disorders such as Alzheimer’s disease are increasingly recognized as multifactorial conditions involving oxidative stress, neuroinflammation, mitochondrial dysfunction, synaptic impairment, blood–brain barrier disruption, metabolic imbalance, and gut–brain axis dysregulation. Emerging evidence suggests that herbal medicines may modulate several of these interconnected pathological pathways simultaneously, supporting their potential as multi-target therapeutic approaches. In addition, advances in syndrome differentiation, transcriptomics, neuroimaging biomarkers, microbiome profiling, and systems biology highlight the growing potential of personalized and precision-based herbal interventions in neurodegenerative disease management. Despite these promising findings, the current evidence remains heterogeneous and limited by insufficient standardization, small-scale and region-specific studies, short intervention durations, and limited long-term clinical validation. Therefore, future research should prioritize standardized formulations, rigorous multicenter clinical trials, biomarker-guided therapeutic strategies, and stronger regulatory frameworks to improve reproducibility, safety, and translational applicability. Collectively, integrating traditional herbal medicine with modern precision medicine approaches may provide new opportunities for evidence-based neuroprotective interventions in cognitive disorders.

Author Contributions

Conceptualization, M.R., K.A., B.K. and M.N.P.; software, M.R. and K.A.; writing—original draft preparation, M.R. and K.A.; writing—review and editing, M.R., K.A., B.K., M.N.P. and A.R.; supervision, B.K. and M.N.P.; funding acquisition, B.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported National Research Foundation of Korea (NRF) grant, funded by the Korea government (MSIT) (RS-2020-NR049559) and the Basic Science Research Program through the National Research Foundation of Korea (NRF), funded by the Ministry of Education (RS-2020-NR054734); and the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (NRF-RS-2024-00350362).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Hebert, L.E.; Weuve, J.; Scherr, P.A.; Evans, D.A. Alzheimer disease in the United States (2010–2050) estimated using the 2010 census. Neurology 2013, 80, 1778–1783. [Google Scholar] [CrossRef]
  2. Qian, W.; Schweizer, T.; Munoz, D.; Fischer, C.E. O3-04-06: Misdiagnosis of Alzheimer’s Disease: Inconsistencies Between Clinical Diagnosis and Neuropathological Confirmation. Alzheimer’s Dement. 2016, 12, P293. [Google Scholar] [CrossRef]
  3. Pais, R.; Ruano, L.; P. Carvalho, O.; Barros, H. Global cognitive impairment prevalence and incidence in community dwelling older adults—A systematic review. Geriatrics 2020, 5, 84. [Google Scholar] [CrossRef]
  4. Palmer, N.P.; Ortega, B.T.; Joshi, P. Cognitive impairment in older adults: Epidemiology, diagnosis, and treatment. Psychiatr. Clin. 2022, 45, 639–661. [Google Scholar]
  5. Heo, H.-M.; Lee, K.-H.; Heo, K.-H.; Hwang, Y.-C.; Lee, H.-G.; Kwon, S.; Cho, S.-Y.; Park, S.-U.; Jung, W.-S.; Moon, S.-K. Analysis of the relationship between brain activation and clinical indicators in amnestic mild cognitive impairment. Brain Imaging Behav. 2025, 19, 732–745. [Google Scholar] [CrossRef] [PubMed]
  6. Luchsinger, J.A. Type 2 diabetes and cognitive impairment: Linking mechanisms. J. Alzheimer’s Dis. 2012, 30, S185–S198. [Google Scholar] [CrossRef]
  7. Park, M.; Kwon, D.; Jung, J.; Han, C.; Jo, I.; Jo, S. Mini-Mental Status Examination as predictors of mortality in the elderly. Acta Psychiatr. Scand. 2013, 127, 298–304. [Google Scholar] [CrossRef]
  8. Roberts, R.; Knopman, D.S. Classification and epidemiology of MCI. Clin. Geriatr. Med. 2013, 29, 753–772. [Google Scholar] [CrossRef]
  9. Park, K.; Lee, W.H.; Cho, E.; Kong, C.H.; Min, H.S.; Kim, M.S.; Han, J.E.; Jung, S.Y.; Kim, D.H.; Ryu, J.H. The effects of Cheonwangbosim-dan, a traditional herbal medicine prescription, on scopolamine-induced cognitive dysfunction in mice. J. Ethnopharmacol. 2025, 343, 119500. [Google Scholar] [CrossRef]
  10. Liu, L.-Y.; Lu, Y.; Shen, L.; Li, C.-B.; Yu, J.-T.; Yuan, C.R.; Ye, K.X.; Chao, Y.X.; Shen, Q.-F.; Mahendran, R. Prevalence, risk and protective factors for mild cognitive impairment in a population-based study of Singaporean elderly. J. Psychiatr. Res. 2022, 145, 111–117. [Google Scholar] [CrossRef]
  11. Xu, T.; Bu, G.; Yuan, L.; Zhou, L.; Yang, Q.; Zhu, Y.; Zhang, S.; Liu, Q.; Ouyang, Z.; Yang, X. The prevalence and risk factors study of cognitive impairment: Analysis of the elderly population of Han nationality in Hunan province, China. CNS Neurosci. Ther. 2024, 30, e14478. [Google Scholar] [CrossRef] [PubMed]
  12. Pessoa, R.M.P.; Bomfim, A.J.L.; Ferreira, B.L.C.; Chagas, M.H.N. Diagnostic criteria and prevalence of mild cognitive impairment in older adults living in the community: A systematic review and meta-analysis. Arch. Clin. Psychiatry 2019, 46, 72–79. [Google Scholar] [CrossRef]
  13. Sharma, C.; Kim, S.; Nam, Y.; Jung, U.J.; Kim, S.R. Mitochondrial dysfunction as a driver of cognitive impairment in Alzheimer’s disease. Int. J. Mol. Sci. 2021, 22, 4850. [Google Scholar] [CrossRef]
  14. Jack, C.R., Jr.; Knopman, D.S.; Chételat, G.; Dickson, D.; Fagan, A.M.; Frisoni, G.B.; Jagust, W.; Mormino, E.C.; Petersen, R.C.; Sperling, R.A. Suspected non-Alzheimer disease pathophysiology—Concept and controversy. Nat. Rev. Neurol. 2016, 12, 117–124. [Google Scholar] [CrossRef] [PubMed]
  15. Dourlen, P.; Kilinc, D.; Malmanche, N.; Chapuis, J.; Lambert, J.-C. The new genetic landscape of Alzheimer’s disease: From amyloid cascade to genetically driven synaptic failure hypothesis? Acta Neuropathol. 2019, 138, 221–236. [Google Scholar] [CrossRef]
  16. Kim, J.; Chakrabarty, P.; Hanna, A.; March, A.; Dickson, D.W.; Borchelt, D.R.; Golde, T.; Janus, C. Normal cognition in transgenic BRI2-Aβ mice. Mol. Neurodegener. 2013, 8, 15. [Google Scholar] [CrossRef]
  17. Kametani, F.; Hasegawa, M. Reconsideration of amyloid hypothesis and tau hypothesis in Alzheimer’s disease. Front. Neurosci. 2018, 12, 328460. [Google Scholar] [CrossRef]
  18. Kozlov, S.; Afonin, A.; Evsyukov, I.; Bondarenko, A. Alzheimer’s disease: As it was in the beginning. Rev. Neurosci. 2017, 28, 825–843. [Google Scholar] [CrossRef]
  19. Chakravorty, A.; Jetto, C.T.; Manjithaya, R. Dysfunctional mitochondria and mitophagy as drivers of Alzheimer’s disease pathogenesis. Front. Aging Neurosci. 2019, 11, 311. [Google Scholar] [CrossRef]
  20. Albensi, B.C. Dysfunction of mitochondria: Implications for Alzheimer’s disease. Int. Rev. Neurobiol. 2019, 145, 13–27. [Google Scholar]
  21. Marois, A.; Lafond, D. Augmenting cognitive work: A review of cognitive enhancement methods and applications for operational domains. Cogn. Technol. Work 2022, 24, 589–608. [Google Scholar] [CrossRef]
  22. Malík, M.; Tlustoš, P. Nootropics as cognitive enhancers: Types, dosage and side effects of smart drugs. Nutrients 2022, 14, 3367. [Google Scholar] [CrossRef] [PubMed]
  23. Dresler, M.; Sandberg, A.; Ohla, K.; Bublitz, C.; Trenado, C.; Mroczko-Wąsowicz, A.; Kühn, S.; Repantis, D. Non-pharmacological cognitive enhancement. Neuropharmacology 2013, 64, 529–543. [Google Scholar] [CrossRef] [PubMed]
  24. Chen, M.; Ruan, G.; Chen, L.; Ying, S.; Li, G.; Xu, F.; Xiao, Z.; Tan, Y.; Lv, L.; Ping, Y. Neurotransmitter and intestinal interactions: Focus on the microbiota-gut-brain axis in irritable bowel syndrome. Front. Endocrinol. 2022, 13, 817100. [Google Scholar] [CrossRef]
  25. Hamamah, S.; Aghazarian, A.; Nazaryan, A.; Hajnal, A.; Covasa, M. Role of microbiota-gut-brain axis in regulating dopaminergic signaling. Biomedicines 2022, 10, 436. [Google Scholar] [CrossRef] [PubMed]
  26. Dicks, L.M. Gut bacteria and neurotransmitters. Microorganisms 2022, 10, 1838. [Google Scholar] [CrossRef] [PubMed]
  27. Di Vincenzo, F.; Del Gaudio, A.; Petito, V.; Lopetuso, L.R.; Scaldaferri, F. Gut microbiota, intestinal permeability, and systemic inflammation: A narrative review. Intern. Emerg. Med. 2024, 19, 275–293. [Google Scholar] [CrossRef]
  28. Mou, Y.; Du, Y.; Zhou, L.; Yue, J.; Hu, X.; Liu, Y.; Chen, S.; Lin, X.; Zhang, G.; Xiao, H. Gut microbiota interact with the brain through systemic chronic inflammation: Implications on neuroinflammation, neurodegeneration, and aging. Front. Immunol. 2022, 13, 796288. [Google Scholar] [CrossRef]
  29. Dong, Y.; Cui, C. The role of short-chain fatty acids in central nervous system diseases. Mol. Cell. Biochem. 2022, 477, 2595–2607. [Google Scholar] [CrossRef]
  30. Li, C.; Yao, J.; Yang, C.; Yu, S.; Yang, Z.; Wang, L.; Li, S.; He, N. Gut microbiota-derived short chain fatty acids act as mediators of the gut-liver-brain axis. Metab. Brain Dis. 2025, 40, 122. [Google Scholar] [CrossRef]
  31. Alpino, G.d.C.Á.; Pereira-Sol, G.A.; Dias, M.d.M.e.; Aguiar, A.S.d.; Peluzio, M.d.C.G. Beneficial effects of butyrate on brain functions: A view of epigenetic. Crit. Rev. Food Sci. Nutr. 2024, 64, 3961–3970. [Google Scholar] [CrossRef]
  32. Rahman, Z.; Dandekar, M.P. Implication of paraprobiotics in age-associated gut dysbiosis and neurodegenerative diseases. NeuroMol. Med. 2023, 25, 14–26. [Google Scholar] [CrossRef]
  33. Grant, H.; Anderton, R.; Gasson, N.; Lawrence, B.J. The gut microbiome and cognition in Parkinson’s disease: A systematic review. Nutr. Neurosci. 2023, 26, 932–941. [Google Scholar] [CrossRef]
  34. Kim, N.Y.; Gowda, S.G.S.; Lee, S.-G.; Sethi, G.; Ahn, K.S. Cannabidiol induces ERK activation and ROS production to promote autophagy and ferroptosis in glioblastoma cells. Chem.-Biol. Interact. 2024, 394, 110995. [Google Scholar] [CrossRef] [PubMed]
  35. Yadav, D.; Kumar, P. Restoration and targeting of aberrant neurotransmitters in Parkinson’s disease therapeutics. Neurochem. Int. 2022, 156, 105327. [Google Scholar] [CrossRef]
  36. Banerjee, S.; McCracken, S.; Hossain, M.F.; Slaughter, G. Electrochemical detection of neurotransmitters. Biosensors 2020, 10, 101. [Google Scholar] [CrossRef] [PubMed]
  37. Jameson, K.G.; Olson, C.A.; Kazmi, S.A.; Hsiao, E.Y. Toward understanding microbiome-neuronal signaling. Mol. Cell 2020, 78, 577–583. [Google Scholar] [CrossRef] [PubMed]
  38. Harilal, S.; Kumar, R.; Mathew, G.E.; Jose, J.; Uddin, M.S.; Mathew, B. Neurochemicals in nervous system and exploring the chemical make-up of human brain. In Principles of Neurochemistry; Springer: Singapore, 2020; pp. 19–39. [Google Scholar]
  39. Xia, X.; Wang, Y.; Qin, Y.; Zhao, S.; Zheng, J.C. Exosome: A novel neurotransmission modulator or non-canonical neurotransmitter? Ageing Res. Rev. 2022, 74, 101558. [Google Scholar] [CrossRef]
  40. Bhat, S.; El-Kasaby, A.; Freissmuth, M.; Sucic, S. Functional and biochemical consequences of disease variants in neurotransmitter transporters: A special emphasis on folding and trafficking deficits. Pharmacol. Ther. 2021, 222, 107785. [Google Scholar] [CrossRef]
  41. García-Cazorla, À.; Artuch, R. Neurotransmitter disorders. In Rosenberg’s Molecular and Genetic Basis of Neurological and Psychiatric Disease; Elsevier: Amsterdam, The Netherlands, 2020; pp. 917–929. [Google Scholar]
  42. Mastrangelo, M. Epilepsy in inherited neurotransmitter disorders: Spotlights on pathophysiology and clinical management. Metab. Brain Dis. 2021, 36, 29–43. [Google Scholar] [CrossRef]
  43. Pichai, E.; Lakshmanan, M. Neurotransmitters and Neurotransmission. In Introduction to Basics of Pharmacology and Toxicology; Essentials of Systemic Pharmacology: From Principles to Practice; Springer: Singapore, 2021; Volume 2, pp. 69–95. [Google Scholar]
  44. Talebi, M.; Talebi, M.; Samarghandian, S. Association of Crocus sativus with cognitive dysfunctions and Alzheimer’s disease: A systematic review. Biointerface Res. Appl. Chem. 2021, 11, 7468–7492. [Google Scholar]
  45. Dinparast, L.; Zengin, G.; Bahadori, M.B. Cholinesterases inhibitory activity of 1H-benzimidazole derivatives. Biointerface Res. Appl. Chem. 2021, 11, 10739–10745. [Google Scholar]
  46. Zhao, X.; Li, C.; Ding, G.; Heng, Y.; Li, A.; Wang, W.; Hou, H.; Wen, J.; Zhang, Y. The burden of Alzheimer’s disease mortality in the United States, 1999–2018. J. Alzheimer’s Dis. 2021, 82, 803–813. [Google Scholar] [CrossRef] [PubMed]
  47. Liang, C.-S.; Li, D.-J.; Yang, F.-C.; Tseng, P.-T.; Carvalho, A.F.; Stubbs, B.; Thompson, T.; Mueller, C.; Shin, J.I.; Radua, J. Mortality rates in Alzheimer’s disease and non-Alzheimer’s dementias: A systematic review and meta-analysis. Lancet Healthy Longev. 2021, 2, e479–e488. [Google Scholar] [CrossRef] [PubMed]
  48. Lin, S.-Y.; Lin, P.-C.; Lin, Y.-C.; Lee, Y.-J.; Wang, C.-Y.; Peng, S.-W.; Wang, P.-N. The clinical course of early and late mild cognitive impairment. Front. Neurol. 2022, 13, 685636. [Google Scholar] [CrossRef]
  49. Hou, Y.; Dan, X.; Babbar, M.; Wei, Y.; Hasselbalch, S.G.; Croteau, D.L.; Bohr, V.A. Ageing as a risk factor for neurodegenerative disease. Nat. Rev. Neurol. 2019, 15, 565–581. [Google Scholar] [CrossRef]
  50. Uddin, M.S.; Hasana, S.; Hossain, M.F.; Islam, M.S.; Behl, T.; Perveen, A.; Hafeez, A.; Ashraf, G.M. Molecular genetics of early-and late-onset Alzheimer’s disease. Curr. Gene Ther. 2021, 21, 43–52. [Google Scholar]
  51. Zhang, X.; Tian, Y.; Wang, Z.; Ma, Y.; Tan, L.; Yu, J. The epidemiology of Alzheimer’s disease modifiable risk factors and prevention. J. Prev. Alzheimers Dis. 2021, 8, 313–321. [Google Scholar] [CrossRef]
  52. Adani, G.; Filippini, T.; Garuti, C.; Malavolti, M.; Vinceti, G.; Zamboni, G.; Tondelli, M.; Galli, C.; Costa, M.; Vinceti, M. Environmental risk factors for early-onset Alzheimer’s dementia and frontotemporal dementia: A case-control study in northern Italy. Int. J. Environ. Res. Public Health 2020, 17, 7941. [Google Scholar] [CrossRef]
  53. de Lange, A.M.G.; Barth, C.; Kaufmann, T.; Maximov, I.I.; van der Meer, D.; Agartz, I.; Westlye, L.T. Women’s brain aging: Effects of sex-hormone exposure, pregnancies, and genetic risk for Alzheimer’s disease. Hum. Brain Mapp. 2020, 41, 5141–5150. [Google Scholar] [CrossRef]
  54. Kapoor, M.; Chinnathambi, S. TGF-β1 signalling in Alzheimer’s pathology and cytoskeletal reorganization: A specialized Tau perspective. J. Neuroinflamm. 2023, 20, 72. [Google Scholar] [CrossRef]
  55. Urban, A.S.; Pavlov, K.V.; Kamynina, A.V.; Okhrimenko, I.S.; Arseniev, A.S.; Bocharov, E.V. Structural studies providing insights into production and conformational behavior of amyloid-β peptide associated with Alzheimer’s disease development. Molecules 2021, 26, 2897. [Google Scholar] [CrossRef]
  56. Corsi, A.; Bombieri, C.; Valenti, M.T.; Romanelli, M.G. Tau isoforms: Gaining insight into MAPT alternative splicing. Int. J. Mol. Sci. 2022, 23, 15383. [Google Scholar] [CrossRef]
  57. Costa, H.N.; Esteves, A.R.; Empadinhas, N.; Cardoso, S.M. Parkinson’s disease: A multisystem disorder. Neurosci. Bull. 2023, 39, 113–124. [Google Scholar] [CrossRef]
  58. Fang, C.; Lv, L.; Mao, S.; Dong, H.; Liu, B. Cognition deficits in Parkinson’s disease: Mechanisms and treatment. Park. Dis. 2020, 2020, 2076942. [Google Scholar] [CrossRef]
  59. Bhatia, V.; Sharma, S. Role of mitochondrial dysfunction, oxidative stress and autophagy in progression of Alzheimer’s disease. J. Neurol. Sci. 2021, 421, 117253. [Google Scholar] [CrossRef]
  60. Perluigi, M.; Di Domenico, F.; Butterfield, D.A. Oxidative damage in neurodegeneration: Roles in the pathogenesis and progression of Alzheimer disease. Physiol. Rev. 2024, 104, 103–197. [Google Scholar] [CrossRef]
  61. Bai, R.; Guo, J.; Ye, X.-Y.; Xie, Y.; Xie, T. Oxidative stress: The core pathogenesis and mechanism of Alzheimer’s disease. Ageing Res. Rev. 2022, 77, 101619. [Google Scholar] [CrossRef]
  62. Misrani, A.; Tabassum, S.; Yang, L. Mitochondrial dysfunction and oxidative stress in Alzheimer’s disease. Front. Aging Neurosci. 2021, 13, 617588. [Google Scholar] [CrossRef]
  63. Pfundstein, G.; Nikonenko, A.G.; Sytnyk, V. Amyloid precursor protein (APP) and amyloid β (Aβ) interact with cell adhesion molecules: Implications in Alzheimer’s disease and normal physiology. Front. Cell Dev. Biol. 2022, 10, 969547. [Google Scholar] [CrossRef]
  64. Zhang, Y.; Wang, M.; Chang, W. Iron dyshomeostasis and ferroptosis in Alzheimer’s disease: Molecular mechanisms of cell death and novel therapeutic drugs and targets for AD. Front. Pharmacol. 2022, 13, 983623. [Google Scholar] [CrossRef]
  65. Ma, H.; Dong, Y.; Chu, Y.; Guo, Y.; Li, L. The mechanisms of ferroptosis and its role in alzheimer’s disease. Front. Mol. Biosci. 2022, 9, 965064. [Google Scholar] [CrossRef]
  66. Reggiori, F.; Molinari, M. ER-phagy: Mechanisms, regulation, and diseases connected to the lysosomal clearance of the endoplasmic reticulum. Physiol. Rev. 2022, 102, 1393–1448. [Google Scholar] [CrossRef]
  67. Sahoo, S.; Padhy, A.A.; Kumari, V.; Mishra, P. Role of ubiquitin–proteasome and autophagy-lysosome pathways in α-synuclein aggregate clearance. Mol. Neurobiol. 2022, 59, 5379–5407. [Google Scholar] [CrossRef]
  68. Patabendige, A.; Janigro, D. The role of the blood–brain barrier during neurological disease and infection. Biochem. Soc. Trans. 2023, 51, 613–626. [Google Scholar] [CrossRef]
  69. Andjelkovic, A.V.; Situ, M.; Citalan-Madrid, A.F.; Stamatovic, S.M.; Xiang, J.; Keep, R.F. Blood-brain barrier dysfunction in normal aging and neurodegeneration: Mechanisms, impact, and treatments. Stroke 2023, 54, 661–672. [Google Scholar] [CrossRef]
  70. Ahlawat, A.; Walia, V.; Garg, M. Brain insulin resistance mediated cognitive impairment and neurodegeneration: Type-3 diabetes or Alzheimer’s Disease. Acta Neurol. Belg. 2025, 125, 941–969. [Google Scholar] [CrossRef]
  71. González, A.; Calfío, C.; Churruca, M.; Maccioni, R.B. Glucose metabolism and AD: Evidence for a potential diabetes type 3. Alzheimer’s Res. Ther. 2022, 14, 56. [Google Scholar] [CrossRef]
  72. Alzarea, S.I. Non-coding RNA-mediated gene regulation in Alzheimer’s disease pathogenesis: Molecular insights and emerging innovations. Saudi Pharm. J. 2025, 33, 33. [Google Scholar] [CrossRef]
  73. Lossi, L.; Castagna, C.; Merighi, A. An overview of the epigenetic modifications in the brain under normal and pathological conditions. Int. J. Mol. Sci. 2024, 25, 3881. [Google Scholar] [CrossRef]
  74. Mehder, R.H. Neuronal Oxidative Stress and Dendritic Trimming in a Mouse Model of Late Onset Alzheimer’s Disease. Ph.D. Thesis, Queen’s University, Kingston, ON, Canada, 2020. [Google Scholar]
  75. Huang, Q.; Liao, C.; Ge, F.; Ao, J.; Liu, T. Acetylcholine bidirectionally regulates learning and memory. J. Neurorestoratology 2022, 10, 100002. [Google Scholar] [CrossRef]
  76. Bekdash, R.A. The cholinergic system, the adrenergic system and the neuropathology of Alzheimer’s disease. Int. J. Mol. Sci. 2021, 22, 1273. [Google Scholar] [CrossRef]
  77. Gunday, E.; Deniz, F.S.S. Alzheimer’s Disease and Contemporary Therapeutic Approaches: Recent Advances in Natural Products. Drugs Drug Candidates 2026, 5, 21. [Google Scholar] [CrossRef]
  78. Madav, Y.; Wairkar, S.; Prabhakar, B. Recent therapeutic strategies targeting beta amyloid and tauopathies in Alzheimer’s disease. Brain Res. Bull. 2019, 146, 171–184. [Google Scholar] [CrossRef]
  79. Roy, P. Cerebrovascular Disease Related to Hypertension: Effects of Antioxidant and Cholinergic Precursor Molecules. Ph.D. Thesis, University of Camerino, Camerino, Italy, 2023. [Google Scholar]
  80. Wang, W.; Zhao, F.; Ma, X.; Perry, G.; Zhu, X. Mitochondria dysfunction in the pathogenesis of Alzheimer’s disease: Recent advances. Mol. Neurodegener. 2020, 15, 30. [Google Scholar] [CrossRef]
  81. Giorgi, F.S.; Galgani, A.; Gaglione, A.; Ferese, R.; Fornai, F. Effects of prolonged seizures on basal forebrain cholinergic neurons: Evidence and potential clinical relevance. Neurotox. Res. 2020, 38, 249–265. [Google Scholar] [CrossRef]
  82. Govind, N. Donepezil for dementia due to Alzheimer’s disease. Br. J. Community Nurs. 2020, 6, CD001190. [Google Scholar] [CrossRef]
  83. Grutzendler, J.; Morris, J.C. Cholinesterase inhibitors for Alzheimer’s disease. Drugs 2001, 61, 41–52. [Google Scholar] [CrossRef]
  84. Moreira, N.C.d.S.; Lima, J.E.B.d.F.; Marchiori, M.F.; Carvalho, I.; Sakamoto-Hojo, E.T. Neuroprotective effects of cholinesterase inhibitors: Current scenario in therapies for Alzheimer’s disease and future perspectives. J. Alzheimer’s Dis. Rep. 2022, 6, 177–193. [Google Scholar] [CrossRef]
  85. Yiannopoulou, K.G.; Papageorgiou, S.G. Current and future treatments for Alzheimer’s disease. Ther. Adv. Neurol. Disord. 2013, 6, 19–33. [Google Scholar] [CrossRef]
  86. Bayo Jimenez, M.T.; Rivas-García, L.; Sánchez-González, C.; Grosso, G.; Lipari, V.; Vera-Ramírez, L.; Battino, M.; Giampieri, F.; Quiles, J.L.; Forbes-Hernández, T.Y. Natural Products in Alzheimer’s Disease: A Systematic Review of Clinical Trials and Underlying Molecular Mechanisms. Int. J. Mol. Sci. 2025, 26, 10631. [Google Scholar] [CrossRef]
  87. Nahar, L.; Charoensup, R.; Kalieva, K.; Habibi, E.; Guo, M.; Wang, D.; Kvasnica, M.; Onder, A.; Sarker, S. Natural products in neurodegenerative diseases: Recent advances and future outlook. Front. Pharmacol. 2025, 16, 1529194. [Google Scholar] [CrossRef]
  88. Alanko, V.; Udeh-Momoh, C.; Kivipelto, M.; Sandebring-Matton, A. Mechanisms underlying non-pharmacological dementia prevention strategies: A translational perspective. J. Prev. Alzheimer’s Dis. 2022, 9, 3–11. [Google Scholar] [CrossRef]
  89. Direito, R.; Barbalho, S.M.; Sepodes, B.; Figueira, M.E. Plant-derived bioactive compounds: Exploring neuroprotective, metabolic, and hepatoprotective effects for health promotion and disease prevention. Pharmaceutics 2024, 16, 577. [Google Scholar] [CrossRef]
  90. Vecchio, I.; Sorrentino, L.; Paoletti, A.; Marra, R.; Arbitrio, M. The state of the art on acetylcholinesterase inhibitors in the treatment of Alzheimer’s disease. J. Cent. Nerv. Syst. Dis. 2021, 13, 11795735211029113. [Google Scholar] [CrossRef] [PubMed]
  91. Cheng, Y.-J.; Lin, C.-H.; Lane, H.-Y. Involvement of cholinergic, adrenergic, and glutamatergic network modulation with cognitive dysfunction in Alzheimer’s disease. Int. J. Mol. Sci. 2021, 22, 2283. [Google Scholar] [CrossRef]
  92. Yang, Z.; Zou, Y.; Wang, L. Neurotransmitters in prevention and treatment of Alzheimer’s disease. Int. J. Mol. Sci. 2023, 24, 3841. [Google Scholar] [CrossRef] [PubMed]
  93. Begines, P.; Fernández-Bolaños, J.G.; López, Ó. An updated patent review of acetylcholinesterase inhibitors for the treatment of alzheimer’s disease (2021–present). Expert Opin. Ther. Pat. 2026, 36, 159–190. [Google Scholar] [CrossRef]
  94. Marucci, G.; Buccioni, M.; Dal Ben, D.; Lambertucci, C.; Volpini, R.; Amenta, F. Efficacy of acetylcholinesterase inhibitors in Alzheimer’s disease. Neuropharmacology 2021, 190, 108352. [Google Scholar] [CrossRef] [PubMed]
  95. Haake, A.; Nguyen, K.; Friedman, L.; Chakkamparambil, B.; Grossberg, G.T. An update on the utility and safety of cholinesterase inhibitors for the treatment of Alzheimer’s disease. Expert Opin. Drug Saf. 2020, 19, 147–157. [Google Scholar] [CrossRef]
  96. Akıncıoğlu, H.; Gülçin, İ. Potent acetylcholinesterase inhibitors: Potential drugs for Alzheimer’s disease. Mini Rev. Med. Chem. 2020, 20, 703–715. [Google Scholar] [CrossRef]
  97. d’Angremont, E.; Begemann, M.J.; Van Laar, T.; Sommer, I.E. Cholinesterase inhibitors for treatment of psychotic symptoms in Alzheimer disease and Parkinson disease: A meta-analysis. JAMA Neurol. 2023, 80, 813–823. [Google Scholar] [CrossRef]
  98. Wang, H.J.; Chinna-Meyyappan, A.; Feldman, O.J.; Lanctôt, K.L. Emerging therapies for treatment of agitation, psychosis, or apathy in Alzheimer’s disease. Expert Opin. Emerg. Drugs 2024, 29, 289–303. [Google Scholar] [CrossRef]
  99. Kim, M.G.; Woo, S.-H.; Kim, G.-W.; Choi, H.-K.; Kim, K.K.; Koo, B.S. Efficacy and safety of Woohwangchungsimwon in combination with donepezil for behavioral and psychological symptoms of dementia in probable Alzheimer’s disease: An assessor-blinded randomized controlled trial. J. Alzheimer’s Dis. 2026, 111, 13872877261431692. [Google Scholar] [CrossRef] [PubMed]
  100. Garcia Ribas, G.; Ferrer-Picón, E. Tolerability of rivastigmine transdermal patch in patients with Alzheimer’s disease: A narrative review. Expert Opin. Drug Saf. 2026, 25, 643–655. [Google Scholar] [CrossRef]
  101. Frangež, R.; Rouleau, J.; Molgó, J.; Žužek, M.C.; Benoit, E.; Guillou, C. Novel short-acting non-depolarizing muscle relaxants derived from galantamine: Design, synthesis, and pharmacological evaluation. Biomed. Pharmacother. 2026, 196, 119099. [Google Scholar] [CrossRef] [PubMed]
  102. Shir, D.; Lachner, C. Alzheimer’s disease: A clinical update on diagnosis and treatment. Neurol. I Neurochir. Pol. 2026, 60, 128–137. [Google Scholar] [CrossRef]
  103. Hussein, A.; Guevara, C.A.; Del Valle, P.; Gupta, S.; Benson, D.L.; Huntley, G.W. Non-motor symptoms of Parkinson’s disease: The neurobiology of early psychiatric and cognitive dysfunction. Neuroscientist 2023, 29, 97–116. [Google Scholar] [CrossRef]
  104. Eichel, H.v.; Heine, J.; Wegner, F.; Rogozinski, S.; Stiel, S.; Groh, A.; Krey, L.; Höglinger, G.U.; Klietz, M. Neuropsychiatric symptoms in Parkinson’s disease patients are associated with reduced health-related quality of life and increased caregiver burden. Brain Sci. 2022, 12, 89. [Google Scholar] [CrossRef] [PubMed]
  105. Bae, Y.J.; Kim, J.-M.; Sohn, C.-H.; Choi, J.-H.; Choi, B.S.; Song, Y.S.; Nam, Y.; Cho, S.J.; Jeon, B.; Kim, J.H. Imaging the substantia nigra in Parkinson disease and other Parkinsonian syndromes. Radiology 2021, 300, 260–278. [Google Scholar] [CrossRef]
  106. Afitska, K.; Fucikova, A.; Shvadchak, V.V.; Yushchenko, D.A. α-Synuclein aggregation at low concentrations. Biochim. Biophys. Acta (BBA)-Proteins Proteom. 2019, 1867, 701–709. [Google Scholar] [CrossRef]
  107. Pan, L.; Meng, L.; He, M.; Zhang, Z. Tau in the pathophysiology of Parkinson’s disease. J. Mol. Neurosci. 2021, 71, 2179–2191. [Google Scholar] [CrossRef]
  108. Negi, S.; Khurana, N.; Duggal, N. The Misfolding Mystery: α-syn and the Pathogenesis of Parkinson’s Disease. Neurochem. Int. 2024, 177, 105760. [Google Scholar] [CrossRef] [PubMed]
  109. Nguyen, M.; Wong, Y.C.; Ysselstein, D.; Severino, A.; Krainc, D. Synaptic, mitochondrial, and lysosomal dysfunction in Parkinson’s disease. Trends Neurosci. 2019, 42, 140–149. [Google Scholar] [CrossRef]
  110. Grassi, D.; Howard, S.; Zhou, M.; Diaz-Perez, N.; Urban, N.T.; Guerrero-Given, D.; Kamasawa, N.; Volpicelli-Daley, L.A.; LoGrasso, P.; Lasmézas, C.I. Identification of a highly neurotoxic α-synuclein species inducing mitochondrial damage and mitophagy in Parkinson’s disease. Proc. Natl. Acad. Sci. USA 2018, 115, E2634–E2643. [Google Scholar] [CrossRef] [PubMed]
  111. Burbulla, L.F.; Song, P.; Mazzulli, J.R.; Zampese, E.; Wong, Y.C.; Jeon, S.; Santos, D.P.; Blanz, J.; Obermaier, C.D.; Strojny, C. Dopamine oxidation mediates mitochondrial and lysosomal dysfunction in Parkinson’s disease. Science 2017, 357, 1255–1261. [Google Scholar] [CrossRef]
  112. Himmelberg, M.M.; West, R.J.; Elliott, C.J.; Wade, A.R. Abnormal visual gain control and excitotoxicity in early-onset Parkinson’s disease Drosophila models. J. Neurophysiol. 2018, 119, 957–970. [Google Scholar] [CrossRef]
  113. Anand David, A.; Arulmoli, R.; Parasuraman, S. Overviews of biological importance of quercetin: A bioactive flavonoid. Pharmacogn. Rev. 2016, 10, 84–89. [Google Scholar] [CrossRef]
  114. Mekhalfi, M.; Berteina-Raboin, S. Mucuna pruriens: A Dietary Supplement with Balancing Properties That Can Limit Neurological Disorders and Associated Depressive States. Sci. Pharm. 2026, 94, 16. [Google Scholar] [CrossRef]
  115. Yang, G.; Wang, Y.; Sun, J.; Zhang, K.; Liu, J. Ginkgo biloba for mild cognitive impairment and Alzheimer’s disease: A systematic review and meta-analysis of randomized controlled trials. Curr. Top. Med. Chem. 2016, 16, 520–528. [Google Scholar] [CrossRef]
  116. Balestrino, R.; Schapira, A.H. Parkinson disease. Eur. J. Neurol. 2020, 27, 27–42. [Google Scholar] [CrossRef] [PubMed]
  117. Kolodkin, A.N.; Sharma, R.P.; Colangelo, A.M.; Ignatenko, A.; Martorana, F.; Jennen, D.; Briedé, J.J.; Brady, N.; Barberis, M.; Mondeel, T.D. ROS networks: Designs, aging, Parkinson’s disease and precision therapies. npj Syst. Biol. Appl. 2020, 6, 34. [Google Scholar] [CrossRef]
  118. Pervin, M.; Unno, K.; Ohishi, T.; Tanabe, H.; Miyoshi, N.; Nakamura, Y. Beneficial effects of green tea catechins on neurodegenerative diseases. Molecules 2018, 23, 1297. [Google Scholar] [CrossRef] [PubMed]
  119. Armstrong, M.J.; Okun, M.S. Diagnosis and treatment of Parkinson disease: A review. JAMA 2020, 323, 548–560. [Google Scholar] [CrossRef] [PubMed]
  120. Stocchi, F.; Antonini, A.; Berg, D.; Bergmans, B.; Jost, W.; Katzenschlager, R.; Kulisevsky, J.; Odin, P.; Valldeoriola, F.; Ray Chaudhuri, K. Safinamide in the treatment pathway of Parkinson’s disease: A European Delphi consensus. npj Park. Dis. 2022, 8, 17. [Google Scholar] [CrossRef]
  121. Lang, A.E.; Espay, A.J. Disease modification in Parkinson’s disease: Current approaches, challenges, and future considerations. Mov. Disord. 2018, 33, 660–677. [Google Scholar] [CrossRef]
  122. Vijiaratnam, N.; Simuni, T.; Bandmann, O.; Morris, H.R.; Foltynie, T. Progress towards therapies for disease modification in Parkinson’s disease. Lancet Neurol. 2021, 20, 559–572. [Google Scholar] [CrossRef]
  123. Radder, D.L.; Lígia Silva de Lima, A.; Domingos, J.; Keus, S.H.; van Nimwegen, M.; Bloem, B.R.; de Vries, N.M. Physiotherapy in Parkinson’s disease: A meta-analysis of present treatment modalities. Neurorehabilit. Neural Repair 2020, 34, 871–880. [Google Scholar] [CrossRef]
  124. Nuzzo, D. Role of natural antioxidants on neuroprotection and neuroinflammation. Antioxidants 2021, 10, 608. [Google Scholar] [CrossRef]
  125. Cilia, R.; Laguna, J.; Cassani, E.; Cereda, E.; Pozzi, N.G.; Isaias, I.U.; Contin, M.; Barichella, M.; Pezzoli, G. Mucuna pruriens in Parkinson disease: A double-blind, randomized, controlled, crossover study. Neurology 2017, 89, 432–438. [Google Scholar] [CrossRef]
  126. Goyal, R.; Mittal, P.; Gautam, R.K.; Kamal, M.A.; Perveen, A.; Garg, V.; Alexiou, A.; Saboor, M.; Haque, S.; Farhana, A. Natural products in the management of neurodegenerative diseases. Nutr. Metab. 2024, 21, 26. [Google Scholar] [CrossRef]
  127. Cheong, S.L.; Federico, S.; Spalluto, G.; Klotz, K.-N.; Pastorin, G. The current status of pharmacotherapy for the treatment of Parkinson’s disease: Transition from single-target to multitarget therapy. Drug Discov. Today 2019, 24, 1769–1783. [Google Scholar] [CrossRef]
  128. Kulisevsky, J.; Oliveira, L.; Fox, S.H. Update in therapeutic strategies for Parkinson’s disease. Curr. Opin. Neurol. 2018, 31, 439–447. [Google Scholar] [CrossRef]
  129. Mantovani, E.; Zucchella, C.; Argyriou, A.A.; Tamburin, S. Treatment for cognitive and neuropsychiatric non-motor symptoms in Parkinson’s disease: Current evidence and future perspectives. Expert Rev. Neurother. 2023, 23, 25–43. [Google Scholar] [CrossRef]
  130. Gonzalez-Latapi, P.; Bhowmick, S.S.; Saranza, G.; Fox, S.H. Non-dopaminergic treatments for motor control in Parkinson’s disease: An update. CNS Drugs 2020, 34, 1025–1044. [Google Scholar] [CrossRef] [PubMed]
  131. Jing, X.-Z.; Yuan, X.-Z.; Luo, X.; Zhang, S.-Y.; Wang, X.-P. An Update on Nondopaminergic Treatments for Motor and Non-motor symptoms of Parkinson’s disease. Curr. Neuropharmacol. 2023, 21, 1806. [Google Scholar] [CrossRef]
  132. Haddad, H.; Malone, G.W.; Comardelle, N.J.; Degueure, A.E.; Poliwoda, S.; Kaye, R.J.; Murnane, K.S.; Kaye, A.M.; Kaye, A.D. Aduhelm, a novel anti-amyloid monoclonal antibody, for the treatment of Alzheimer’s disease: A comprehensive review. Health Psychol. Res. 2022, 10, 37023. [Google Scholar] [CrossRef] [PubMed]
  133. Dunn, B.; Stein, P.; Cavazzoni, P. Approval of aducanumab for Alzheimer disease—The FDA’s perspective. JAMA Intern. Med. 2021, 181, 1276–1278. [Google Scholar] [CrossRef] [PubMed]
  134. Uslaner, J.M.; Herring, W.J.; Coleman, P.J. The discovery of suvorexant: Lessons learned that can be applied to other CNS drug development efforts. ACS Pharmacol. Transl. Sci. 2020, 3, 161–168. [Google Scholar] [CrossRef]
  135. Varadharajan, A.; Davis, A.D.; Ghosh, A.; Jagtap, T.; Xavier, A.; Menon, A.J.; Roy, D.; Gandhi, S.; Gregor, T. Guidelines for pharmacotherapy in Alzheimer’s disease–A primer on FDA-approved drugs. J. Neurosci. Rural Pract. 2023, 14, 566. [Google Scholar] [CrossRef]
  136. Larkin, H.D. First donepezil transdermal patch approved for Alzheimer disease. JAMA 2022, 327, 1642. [Google Scholar] [CrossRef]
  137. Chopade, P.; Chopade, N.; Zhao, Z.; Mitragotri, S.; Liao, R.; Chandran Suja, V. Alzheimer’s and Parkinson’s disease therapies in the clinic. Bioeng. Transl. Med. 2023, 8, e10367. [Google Scholar] [CrossRef]
  138. Kurkinen, M. Lecanemab (Leqembi) is not the right drug for patients with Alzheimer’s disease. Adv. Clin. Exp. Med. 2023, 32, 943–947. [Google Scholar] [CrossRef]
  139. Adepoju, V.A.; Onyezue, O.I.; Jamil, S.; Okesanya, O.J.; Don, E. Lecanemab Unveiled: Exploring Alzheimer’s Treatment Advancements, Assessing Strengths, Limitations, and Its Therapeutic Landscape Position. Biomed. Environ. Sci. 2024, 37, 428–431. [Google Scholar]
  140. Robinson, D.M.; Keating, G.M. Memantine: A review of its use in Alzheimer’s disease. Drugs 2006, 66, 1515–1534. [Google Scholar] [CrossRef]
  141. Nguyen, K.; Hoffman, H.; Chakkamparambil, B.; Grossberg, G.T. Evaluation of rivastigmine in Alzheimer’s disease. Neurodegener. Dis. Manag. 2021, 11, 35–48. [Google Scholar] [CrossRef]
  142. Kumar, D.; Ashraf, G.M.; Bilgrami, A.L.; Hassan, M.I. Emerging therapeutic developments in neurodegenerative diseases: A clinical investigation. Drug Discov. Today 2022, 27, 103305. [Google Scholar] [CrossRef]
  143. Laifenfeld, D.; Yanover, C.; Ozery-Flato, M.; Shaham, O.; Rosen-Zvi, M.; Lev, N.; Goldschmidt, Y.; Grossman, I. Emulated clinical trials from longitudinal real-world data efficiently identify candidates for neurological disease modification: Examples from parkinson’s disease. Front. Pharmacol. 2021, 12, 631584. [Google Scholar] [CrossRef]
  144. Kriebel-Gasparro, A. Parkinson’s disease: Update on medication management. J. Nurse Pract. 2016, 12, e81–e89. [Google Scholar] [CrossRef]
  145. Jenner, P.; Rocha, J.-F.; Ferreira, J.J.; Rascol, O.; Soares-da-Silva, P. Redefining the strategy for the use of COMT inhibitors in Parkinson’s disease: The role of opicapone. Expert Rev. Neurother. 2021, 21, 1019–1033. [Google Scholar] [CrossRef]
  146. Meglio, M. FDA Issues Complete Response Letter for AbbVie’s 24-Hour Continuous Carbidopa/Levodopa Pump. Neurology Live, 22 March 2023.
  147. Mehta, S.H.; Pahwa, R.; Tanner, C.M.; Hauser, R.A.; Johnson, R. Effects of Gocovri (amantadine) extended release capsules on non-motor symptoms in patients with Parkinson’s disease and dyskinesia. Neurol. Ther. 2021, 10, 307–320. [Google Scholar] [CrossRef]
  148. Lipp, M.M.; Hickey, A.J.; Langer, R.; LeWitt, P.A. A technology evaluation of CVT-301 (Inbrija): An inhalable therapy for treatment of Parkinson’s disease. Expert Opin. Drug Deliv. 2021, 18, 1559–1569. [Google Scholar] [CrossRef]
  149. Agbo, F.; Isaacson, S.H.; Gil, R.; Chiu, Y.-Y.; Brantley, S.J.; Bhargava, P.; Navia, B. Pharmacokinetics and comparative bioavailability of apomorphine sublingual film and subcutaneous apomorphine formulations in patients with Parkinson’s disease and “OFF” episodes: Results of a randomized, three-way crossover, open-label study. Neurol. Ther. 2021, 10, 693–709. [Google Scholar] [CrossRef]
  150. Wilson, S.M.; Wurst, M.G.; Whatley, M.F.; Daniels, R.N. Classics in chemical neuroscience: Pramipexole. ACS Chem. Neurosci. 2020, 11, 2506–2512. [Google Scholar] [CrossRef]
  151. McFarthing, K.; Buff, S.; Rafaloff, G.; Dominey, T.; Wyse, R.K.; Stott, S.R. Parkinson’s disease drug therapies in the clinical trial pipeline: 2020. J. Park. Dis. 2020, 10, 757–774. [Google Scholar] [CrossRef]
  152. St. Onge, E.; Vanderhoof, M.; Miller, S. Opicapone (Ongentys): A New COMT Inhibitor for the Treatment of Parkinson’s Disease. Ann. Pharmacother. 2021, 55, 1159–1166. [Google Scholar] [CrossRef]
  153. Aradi, S.D.; Hauser, R.A. Medical management and prevention of motor complications in Parkinson’s disease. Neurotherapeutics 2020, 17, 1339–1365. [Google Scholar] [CrossRef]
  154. Hauser, R.A.; Espay, A.J.; Ellenbogen, A.L.; Fernandez, H.H.; Isaacson, S.H.; LeWitt, P.A.; Ondo, W.G.; Pahwa, R.; Schwarz, J.; Stocchi, F. IPX203 vs immediate-release carbidopa-levodopa for the treatment of motor fluctuations in Parkinson disease: The RISE-PD randomized clinical trial. JAMA Neurol. 2023, 80, 1062–1069. [Google Scholar] [CrossRef]
  155. Hansen, C.A.; Miller, D.R.; Annarumma, S.; Rusch, C.T.; Ramirez-Zamora, A.; Khoshbouei, H. Levodopa-induced dyskinesia: A historical review of Parkinson’s disease, dopamine, and modern advancements in research and treatment. J. Neurol. 2022, 269, 2892–2909. [Google Scholar] [CrossRef]
  156. Cowen, P.J.; Browning, M. What has serotonin to do with depression? World Psychiatry 2015, 14, 158. [Google Scholar] [CrossRef]
  157. Meneses, A. 5-HT systems: Emergent targets for memory formation and memory alterations. Rev. Neurosci. 2013, 24, 629–664. [Google Scholar] [CrossRef]
  158. Badawy, A.A.; Dawood, S.; Bano, S. Kynurenine pathway of tryptophan metabolism in pathophysiology and therapy of major depressive disorder. World J. Psychiatry 2023, 13, 141. [Google Scholar] [CrossRef]
  159. Artigas, F. Serotonin receptors involved in antidepressant effects. Pharmacol. Ther. 2013, 137, 119–131. [Google Scholar] [CrossRef]
  160. Hoyer, D.; Hannon, J.P.; Martin, G.R. Molecular, pharmacological and functional diversity of 5-HT receptors. Pharmacol. Biochem. Behav. 2002, 71, 533–554. [Google Scholar] [CrossRef]
  161. de Andrade Teles, R.B.; Diniz, T.C.; Costa Pinto, T.C.; de Oliveira Junior, R.G.; Gama e Silva, M.; de Lavor, É.M.; Fernandes, A.W.C.; de Oliveira, A.P.; de Almeida Ribeiro, F.P.R.; da Silva, A.A.M. Flavonoids as therapeutic agents in Alzheimer’s and Parkinson’s diseases: A systematic review of preclinical evidences. Oxidative Med. Cell. Longev. 2018, 2018, 7043213. [Google Scholar] [CrossRef]
  162. Carhart-Harris, R.L.; Nutt, D.J. Serotonin and brain function: A tale of two receptors. J. Psychopharmacol. 2017, 31, 1091–1120. [Google Scholar] [CrossRef]
  163. Carvalho, A.F.; Sharma, M.S.; Brunoni, A.R.; Vieta, E.; Fava, G.A. The safety, tolerability and risks associated with the use of newer generation antidepressant drugs: A critical review of the literature. Psychother. Psychosom. 2016, 85, 270–288. [Google Scholar] [CrossRef]
  164. Kern, D.M.; Cepeda, M.S.; Defalco, F.; Etropolski, M. Treatment patterns and sequences of pharmacotherapy for patients diagnosed with depression in the United States: 2014 through 2019. BMC Psychiatry 2020, 20, 4. [Google Scholar] [CrossRef]
  165. Yu, Z.; Zhang, J.; Zheng, Y.; Yu, L. Trends in antidepressant use and expenditure in six major cities in China from 2013 to 2018. Front. Psychiatry 2020, 11, 551. [Google Scholar] [CrossRef]
  166. Baune, B.T.; Brignone, M.; Larsen, K.G. A network meta-analysis comparing effects of various antidepressant classes on the digit symbol substitution test (DSST) as a measure of cognitive dysfunction in patients with major depressive disorder. Int. J. Neuropsychopharmacol. 2018, 21, 97–107. [Google Scholar] [CrossRef]
  167. Mickymaray, S. Efficacy and mechanism of traditional medicinal plants and bioactive compounds against clinically important pathogens. Antibiotics 2019, 8, 257. [Google Scholar] [CrossRef]
  168. Maia, M.E.; Carvalho, M.; Sousa Gomes, C.; Arruda, M.; Antunes de Magalhães, A.J.L.; Farias, D. Plant-Derived Peptides with Neuroprotective Activity: Advances and Perspectives in the Prevention of Neurodegenerative Diseases. ACS Omega 2026, 11, 22458–22478. [Google Scholar] [CrossRef]
  169. McCutcheon, R.A.; Marques, T.R.; Howes, O.D. Schizophrenia—An overview. JAMA Psychiatry 2020, 77, 201–210. [Google Scholar] [CrossRef]
  170. Carrà, G.; Crocamo, C.; Angermeyer, M.; Brugha, T.; Toumi, M.; Bebbington, P. Positive and negative symptoms in schizophrenia: A longitudinal analysis using latent variable structural equation modelling. Schizophr. Res. 2019, 204, 58–64. [Google Scholar] [CrossRef]
  171. Chang, C.-Y.; Luo, D.-Z.; Pei, J.-C.; Kuo, M.-C.; Hsieh, Y.-C.; Lai, W.-S. Not just a bystander: The emerging role of astrocytes and research tools in studying cognitive dysfunctions in schizophrenia. Int. J. Mol. Sci. 2021, 22, 5343. [Google Scholar] [CrossRef]
  172. Ni, Y.; Zhang, W.; Sun, P.; Xu, Y.; Zhang, Q. Aromatic plant-derived essential oils: Bioactive compounds and their neuroprotective functions in neurological health. J. Food Bioact. 2026, 33, 16–31. [Google Scholar] [CrossRef]
  173. Xie, T.; Zhang, X.; Tang, X.; Zhang, H.; Yu, M.; Gong, G.; Wang, X.; Evans, A.; Zhang, Z.; He, Y. Mapping convergent and divergent cortical thinning patterns in patients with deficit and nondeficit schizophrenia. Schizophr. Bull. 2019, 45, 211–221. [Google Scholar] [CrossRef]
  174. Planchuelo-Gómez, Á.; Lubeiro, A.; Núñez-Novo, P.; Gomez-Pilar, J.; de Luis-García, R.; Del Valle, P.; Martín-Santiago, Ó.; Pérez-Escudero, A.; Molina, V. Identificacion of MRI-based psychosis subtypes: Replication and refinement. Prog. Neuro-Psychopharmacol. Biol. Psychiatry 2020, 100, 109907. [Google Scholar] [CrossRef]
  175. Madre, M.; Canales-Rodríguez, E.J.; Fuentes-Claramonte, P.; Alonso-Lana, S.; Salgado-Pineda, P.; Guerrero-Pedraza, A.; Moro, N.; Bosque, C.; Gomar, J.J.; Ortíz-Gil, J. Structural abnormality in schizophrenia versus bipolar disorder: A whole brain cortical thickness, surface area, volume and gyrification analyses. NeuroImage Clin. 2020, 25, 102131. [Google Scholar] [CrossRef]
  176. Song, R.; Xu, H.; Dintica, C.S.; Pan, K.-Y.; Qi, X.; Buchman, A.S.; Bennett, D.A.; Xu, W. Associations between cardiovascular risk, structural brain changes, and cognitive decline. J. Am. Coll. Cardiol. 2020, 75, 2525–2534. [Google Scholar] [CrossRef]
  177. Smucny, J.; Dienel, S.J.; Lewis, D.A.; Carter, C.S. Mechanisms underlying dorsolateral prefrontal cortex contributions to cognitive dysfunction in schizophrenia. Neuropsychopharmacology 2022, 47, 292–308. [Google Scholar] [CrossRef]
  178. Ji, J.L.; Diehl, C.; Schleifer, C.; Tamminga, C.A.; Keshavan, M.S.; Sweeney, J.A.; Clementz, B.A.; Hill, S.K.; Pearlson, G.; Yang, G. Schizophrenia exhibits bi-directional brain-wide alterations in cortico-striato-cerebellar circuits. Cereb. Cortex 2019, 29, 4463–4487. [Google Scholar] [CrossRef]
  179. Hawiset, T.; Inkeaw, P. Effects of Stress and Cortisol on the Brain Behavioral Functions: Mood and Memory. Srinagarind Med. J. 2020, 35, 496–511. [Google Scholar]
  180. Martínez, A.L.; Brea, J.; Rico, S.; De los Frailes, M.T.; Loza, M.I. Cognitive deficit in schizophrenia: From etiology to novel treatments. Int. J. Mol. Sci. 2021, 22, 9905. [Google Scholar] [CrossRef]
  181. Fiocco, A.J.; D’Amico, D.; De Beaumont, L.; Poirier, J.; Lupien, S. Association between BDNF polymorphism and hypothalamic-pituitary-adrenal activity in later adulthood. Gerontology 2020, 66, 131–137. [Google Scholar] [CrossRef] [PubMed]
  182. Labad, J. The role of cortisol and prolactin in the pathogenesis and clinical expression of psychotic disorders. Psychoneuroendocrinology 2019, 102, 24–36. [Google Scholar] [CrossRef] [PubMed]
  183. Duc Nguyen, H.; Oh, H.; Yu, B.P.; Hoang, N.M.H.; Jo, W.H.; Young Chung, H.; Kim, M.-S. Associations between Prolactin, Diabetes, and Cognitive Impairment: A literature review. Neuroendocrinology 2022, 112, 856–873. [Google Scholar] [CrossRef] [PubMed]
  184. Chien, H.-Y.; Chen, S.-M.; Li, W.-C. Dopamine receptor agonists mechanism of actions on glucose lowering and their connections with prolactin actions. Front. Clin. Diabetes Healthc. 2023, 4, 935872. [Google Scholar] [CrossRef]
  185. Bansal, V.; Chatterjee, I. Role of neurotransmitters in schizophrenia: A comprehensive study. Kuwait J. Sci. 2021, 48, 1–27. [Google Scholar] [CrossRef]
  186. Teleanu, R.I.; Niculescu, A.-G.; Roza, E.; Vladâcenco, O.; Grumezescu, A.M.; Teleanu, D.M. Neurotransmitters—Key factors in neurological and neurodegenerative disorders of the central nervous system. Int. J. Mol. Sci. 2022, 23, 5954. [Google Scholar] [CrossRef]
  187. Schoonover, K.E.; Dienel, S.J.; Lewis, D.A. Prefrontal cortical alterations of glutamate and GABA neurotransmission in schizophrenia: Insights for rational biomarker development. Biomark. Neuropsychiatry 2020, 3, 100015. [Google Scholar] [CrossRef]
  188. Shu, I.-W.; Granholm, E.L.; Singh, F. Targeting frontal gamma activity with neurofeedback to improve working memory in schizophrenia. In Cognitive Functioning in Schizophrenia: Leveraging the RDoC Framework; Springer: Cham, Switzerland, 2022; pp. 153–172. [Google Scholar]
  189. Zhang, T.; Liu, C.; Zhong, N.; Wang, Y.; Huang, Y.; Zhang, X. Advances in the treatment of cognitive impairment in schizophrenia: Targeting NMDA receptor pathways. Int. J. Mol. Sci. 2024, 25, 10668. [Google Scholar] [CrossRef]
  190. Billard, J.-M. Changes in serine racemase-dependent modulation of NMDA receptor: Impact on physiological and pathological brain aging. Front. Mol. Biosci. 2018, 5, 106. [Google Scholar] [CrossRef]
  191. Pei, J.-C.; Luo, D.-Z.; Gau, S.-S.; Chang, C.-Y.; Lai, W.-S. Directly and indirectly targeting the glycine modulatory site to modulate NMDA receptor function to address unmet medical needs of patients with schizophrenia. Front. Psychiatry 2021, 12, 742058. [Google Scholar] [CrossRef]
  192. Kindler, J.; Lim, C.K.; Weickert, C.S.; Boerrigter, D.; Galletly, C.; Liu, D.; Jacobs, K.R.; Balzan, R.; Bruggemann, J.; O’Donnell, M. Dysregulation of kynurenine metabolism is related to proinflammatory cytokines, attention, and prefrontal cortex volume in schizophrenia. Mol. Psychiatry 2020, 25, 2860–2872. [Google Scholar] [CrossRef] [PubMed]
  193. Carvalho, C.; Vieira-Coelho, M.A. Cannabis induced psychosis: A systematic review on the role of genetic polymorphisms. Pharmacol. Res. 2022, 181, 106258. [Google Scholar] [CrossRef] [PubMed]
  194. Kruse, A.O.; Bustillo, J.R. Glutamatergic dysfunction in Schizophrenia. Transl. Psychiatry 2022, 12, 500. [Google Scholar] [CrossRef]
  195. Coyle, J.T.; Ruzicka, W.B.; Balu, D.T. Fifty years of research on schizophrenia: The ascendance of the glutamatergic synapse. Am. J. Psychiatry 2020, 177, 1119–1128. [Google Scholar] [CrossRef] [PubMed]
  196. Krystal, J.H.; D’Souza, D.C.; Mathalon, D.; Perry, E.; Belger, A.; Hoffman, R. NMDA receptor antagonist effects, cortical glutamatergic function, and schizophrenia: Toward a paradigm shift in medication development. Psychopharmacology 2003, 169, 215–233. [Google Scholar] [CrossRef]
  197. McCutcheon, R.A.; Krystal, J.H.; Howes, O.D. Dopamine and glutamate in schizophrenia: Biology, symptoms and treatment. World Psychiatry 2020, 19, 15–33. [Google Scholar] [CrossRef]
  198. Adell, A. Brain NMDA receptors in schizophrenia and depression. Biomolecules 2020, 10, 947. [Google Scholar] [CrossRef]
  199. Moghaddam, B.; Javitt, D. From revolution to evolution: The glutamate hypothesis of schizophrenia and its implication for treatment. Neuropsychopharmacology 2012, 37, 4–15. [Google Scholar] [CrossRef]
  200. Venkataramaiah, C.; Payani, S.; Priya, B.L.; Pradeepkiran, J.A. Therapeutic potentiality of a new flavonoid against ketamine induced glutamatergic dysregulation in schizophrenia: In vivo and in silico approach. Biomed. Pharmacother. 2021, 138, 111453. [Google Scholar] [CrossRef] [PubMed]
  201. Shi, W.; Li, M.; Zhang, T.; Yang, C.; Zhao, D.; Bai, J. GABA system in the prefrontal cortex involved in psychostimulant addiction. Cereb. Cortex 2024, 34, bhae319. [Google Scholar] [CrossRef] [PubMed]
  202. Chiu, C.Q.; Barberis, A.; Higley, M.J. Preserving the balance: Diverse forms of long-term GABAergic synaptic plasticity. Nat. Rev. Neurosci. 2019, 20, 272–281. [Google Scholar] [CrossRef] [PubMed]
  203. Jiménez-Balado, J.; Eich, T.S. GABAergic dysfunction, neural network hyperactivity and memory impairments in human aging and Alzheimer’s disease. Semin. Cell Dev. Biol. 2021, 116, 146–159. [Google Scholar] [CrossRef]
  204. Liwinski, T.; Lang, U.E.; Brühl, A.B.; Schneider, E. Exploring the therapeutic potential of gamma-aminobutyric acid in stress and depressive disorders through the gut–brain axis. Biomedicines 2023, 11, 3128. [Google Scholar] [CrossRef]
  205. Prévot, T.; Sibille, E. Altered GABA-mediated information processing and cognitive dysfunctions in depression and other brain disorders. Mol. Psychiatry 2021, 26, 151–167. [Google Scholar] [CrossRef]
  206. Korczak, M.; Kurowski, P.; Leśniak, A.; Grönbladh, A.; Filipowska, A.; Bujalska-Zadrożny, M. GABAB receptor intracellular signaling: Novel pathways for depressive disorder treatment? Eur. J. Pharmacol. 2020, 885, 173531. [Google Scholar] [CrossRef]
  207. Spiering, M.J. The discovery of GABA in the brain. J. Biol. Chem. 2018, 293, 19159–19160. [Google Scholar] [CrossRef]
  208. Sanacora, G.; Yan, Z.; Popoli, M. The stressed synapse 2.0: Pathophysiological mechanisms in stress-related neuropsychiatric disorders. Nat. Rev. Neurosci. 2022, 23, 86–103. [Google Scholar] [CrossRef] [PubMed]
  209. Kilb, W. When are depolarizing GABAergic responses excitatory? Front. Mol. Neurosci. 2021, 14, 747835. [Google Scholar] [CrossRef]
  210. Rocha, L.; Alonso-Vanegas, M.; Martínez-Juárez, I.E.; Orozco-Suárez, S.; Escalante-Santiago, D.; Feria-Romero, I.A.; Zavala-Tecuapetla, C.; Cisneros-Franco, J.M.; Buentello-García, R.M.; Cienfuegos, J. GABAergic alterations in neocortex of patients with pharmacoresistant temporal lobe epilepsy can explain the comorbidity of anxiety and depression: The potential impact of clinical factors. Front. Cell. Neurosci. 2015, 8, 442. [Google Scholar] [CrossRef] [PubMed]
  211. Schür, R.R.; Draisma, L.W.; Wijnen, J.P.; Boks, M.P.; Koevoets, M.G.; Joels, M.; Klomp, D.W.; Kahn, R.S.; Vinkers, C.H. Brain GABA levels across psychiatric disorders: A systematic literature review and meta-analysis of 1H-MRS studies. Hum. Brain Mapp. 2016, 37, 3337–3352. [Google Scholar] [CrossRef]
  212. McIntyre, R.S.; Carvalho, I.P.; Lui, L.M.; Majeed, A.; Masand, P.S.; Gill, H.; Rodrigues, N.B.; Lipsitz, O.; Coles, A.C.; Lee, Y. The effect of intravenous, intranasal, and oral ketamine in mood disorders: A meta-analysis. J. Affect. Disord. 2020, 276, 576–584. [Google Scholar] [CrossRef] [PubMed]
  213. Nikolin, S.; Rodgers, A.; Schwaab, A.; Bahji, A.; Zarate, C.; Vazquez, G.; Loo, C. Ketamine for the treatment of major depression: A systematic review and meta-analysis. eClinicalMedicine 2023, 62, 102127. [Google Scholar] [CrossRef]
  214. Jiang, Y.; Peng, T.; Gaur, U.; Silva, M.; Little, P.; Chen, Z.; Qiu, W.; Zhang, Y.; Zheng, W. Role of corticotropin releasing factor in the neuroimmune mechanisms of depression: Examination of current pharmaceutical and herbal therapies. Front. Cell. Neurosci. 2019, 13, 290. [Google Scholar] [CrossRef]
  215. Marwaha, S.; Palmer, E.; Suppes, T.; Cons, E.; Young, A.H.; Upthegrove, R. Novel and emerging treatments for major depression. Lancet 2023, 401, 141–153. [Google Scholar] [CrossRef]
  216. Hofmeijer, J.; Van Putten, M.J. Ischemic cerebral damage: An appraisal of synaptic failure. Stroke 2012, 43, 607–615. [Google Scholar] [CrossRef]
  217. Lee, S.Y.; Kim, J.H. Mechanisms underlying presynaptic Ca2+ transient and vesicular glutamate release at a CNS nerve terminal during in vitro ischaemia. J. Physiol. 2015, 593, 2793–2806. [Google Scholar] [CrossRef]
  218. Molinaro, P.; Cataldi, M.; Cuomo, O.; Viggiano, D.; Pignataro, G.; Sirabella, R.; Secondo, A.; Boscia, F.; Pannaccione, A.; Scorziello, A. Genetically modified mice as a strategy to unravel the role played by the Na+/Ca2+ exchanger in brain ischemia and in spatial learning and memory deficits. In Sodium Calcium Exchange: A Growing Spectrum of Pathophysiological Implications: Proceedings of the 6th International Conference on Sodium Calcium Exchange; Springer: Boston, MA, USA, 2012; pp. 213–222. [Google Scholar]
  219. Carlson, A.P.; Hänggi, D.; Macdonald, R.L.; Shuttleworth, C.W. Nimodipine reappraised: An old drug with a future. Curr. Neuropharmacol. 2020, 18, 65–82. [Google Scholar] [CrossRef] [PubMed]
  220. Krasil’nikova, I.; Surin, A.; Sorokina, E.; Fisenko, A.; Boyarkin, D.; Balyasin, M.; Demchenko, A.; Pomytkin, I.; Pinelis, V. Insulin protects cortical neurons against glutamate excitotoxicity. Front. Neurosci. 2019, 13, 1027. [Google Scholar] [CrossRef] [PubMed]
  221. Viejo, L.; Rubio-Alarcón, M.; Arribas, R.L.; Moreno-Castro, M.; Pérez-Marín, R.; Braun-Cornejo, M.; Estrada-Valencia, M.; de Los Ríos, C. Synthesis and biological assessment of 4, 1-benzothiazepines with neuroprotective activity on the Ca2+ overload for the treatment of neurodegenerative diseases and stroke. Molecules 2021, 26, 4473. [Google Scholar] [CrossRef]
  222. Wang, J.; Gan, Y.; Han, P.; Yin, J.; Liu, Q.; Ghanian, S.; Gao, F.; Gong, G.; Tang, Z. Ischemia-induced neuronal cell death is mediated by chemokine receptor CX3CR1. Sci. Rep. 2018, 8, 556. [Google Scholar] [CrossRef] [PubMed]
  223. Tamer, C.E.; Temel, Ş.G.; Suna, S.; Karabacak, A.Ö.; Özcan, T.; Ersan, L.Y.; Kaya, B.T.; Çopur, Ö.U. Evaluation of bioaccessibility and functional properties of kombucha beverages fortified with different medicinal plant extracts. Turk. J. Agric. For. 2021, 45, 13–32. [Google Scholar] [CrossRef]
  224. Pandey, S.N.; Rangra, N.K.; Singh, S.; Arora, S.; Gupta, V. Evolving role of natural products from traditional medicinal herbs in the treatment of Alzheimer’s disease. ACS Chem. Neurosci. 2021, 12, 2718–2728. [Google Scholar] [CrossRef]
  225. Lawate, V.N.; Kore, K.J.; Bhagat, V.; Shete, R.V. The Comprehensive Review of Amlyiod Hypothesis in Alzheimer’s (AD). World 2026, 5, 360–367. [Google Scholar]
  226. Howes, M.J.R.; Perry, N.S.; Houghton, P.J. Plants with traditional uses and activities, relevant to the management of Alzheimer’s disease and other cognitive disorders. Phytother. Res. Int. J. Devoted Pharmacol. Toxicol. Eval. Nat. Prod. Deriv. 2003, 17, 1–18. [Google Scholar] [CrossRef]
  227. Bayattork, M.; Rahman, M.; Hossain, M.I.; Zhang, Y.; Haque, A.N.M.A.; Kim, B.; Naebe, M. Impact of Textile-Derived Micro-and Nanoplastics on Brain Health: An Emerging Environmental Risk. Environ. Sci. Technol. 2026, 60, 2863–2895. [Google Scholar] [CrossRef]
  228. Kofoed, R.H.; Hvingelby, V.S.; Pineda-Pardo, J.A.; Blesa, J.; Paschen, S.; Tandon, A.; Joutsa, J.; Glud, A.N. Focused Ultrasound for the Treatment of Circuit and Molecular Pathology in Parkinson’s Disease. Mov. Disord. 2026, 41, 826–842. [Google Scholar] [CrossRef]
  229. Mythri, R.B.; Bharath, M.M. Curcumin: A potential neuroprotective agent in Parkinson’s disease. Curr. Pharm. Des. 2012, 18, 91–99. [Google Scholar] [CrossRef]
  230. Zhang, X.; Cao, K.; Wan, J.; Liu, Z.; Ren, Z.; Wang, W.; Wang, H. Neuroprotective effects and mechanism of ginseng aqueous extract against Alzheimer’s disease. Phytomedicine 2026, 153, 157943. [Google Scholar] [CrossRef]
  231. Oso, T.A.; Adeleye, S.J.; Sikiru, B.M.; Ganiyu, B.W.; Owolagba, O.A.; Okesanya, O.J.; Ogunwale, A.; Adeyemi, J.D.; Akinloye, O. Redox-oxidative stress and micronutrients interplay in the clinical phenotype of schizophrenia in Nigerian subjects. Explor. Neurosci. 2026, 5, 1006134. [Google Scholar] [CrossRef]
  232. Llorca-Bofí, V.; Parellada, E.; Morén, C.; Sellgren, C.M.; Bioque, M. Neuroinflammation: An unfortunate term to describe schizophrenia. Mol. Psychiatry 2026, 31, 3336–3344. [Google Scholar] [CrossRef]
  233. Moosavi, F.; Hosseini, R.; Saso, L.; Firuzi, O. Modulation of neurotrophic signaling pathways by polyphenols. Drug Des. Dev. Ther. 2015, 10, 23–42. [Google Scholar] [CrossRef]
  234. Rs, D. Synaptic dysfunction in depression: Potential therapeutic targets. Science 2012, 38, 68–72. [Google Scholar] [CrossRef]
  235. Marx, W.; Penninx, B.W.; Solmi, M.; Furukawa, T.A.; Firth, J.; Carvalho, A.F.; Berk, M. Major depressive disorder. Nat. Rev. Dis. Primers 2023, 9, 44. [Google Scholar] [CrossRef]
  236. Lopresti, A.L.; Maes, M.; Maker, G.L.; Hood, S.D.; Drummond, P.D. Curcumin for the treatment of major depression: A randomised, double-blind, placebo controlled study. J. Affect. Disord. 2014, 167, 368–375. [Google Scholar] [CrossRef]
  237. Sachdev, P.S.; Bentvelzen, A.C.; Gustafson, D.; Hansra, G.K.; Hosoki, S.; Jiang, J.; Lennon, M.J.; Moro, M.A.; Saks, D.G.; Samaras, K. Vascular Cognitive Impairment and Dementia: Clinical Features, Neuropathology, and Biomarkers. J. Am. Coll. Cardiol. 2026, 87, 52–76. [Google Scholar] [CrossRef]
  238. Kim, H.J.; Kim, P.; Shin, C.Y. A comprehensive review of the therapeutic and pharmacological effects of ginseng and ginsenosides in central nervous system. J. Ginseng Res. 2013, 37, 8. [Google Scholar] [CrossRef]
  239. Spencer, J.P. The impact of flavonoids on memory: Physiological and molecular considerations. Chem. Soc. Rev. 2009, 38, 1152–1161. [Google Scholar] [CrossRef]
  240. Yurko-Mauro, K.; McCarthy, D.; Rom, D.; Nelson, E.B.; Ryan, A.S.; Blackwell, A.; Salem, N., Jr.; Stedman, M.; Investigators, M. Beneficial effects of docosahexaenoic acid on cognition in age-related cognitive decline. Alzheimer’s Dement. 2010, 6, 456–464. [Google Scholar] [CrossRef]
  241. Mix, J.A.; Crews, W.D., Jr. An examination of the efficacy of Ginkgo biloba extract EGb 761 on the neuropsychologic functioning of cognitively intact older adults. J. Altern. Complement. Med. Paradig. Pract. Policy Adv. Integr. Health 2000, 6, 219–229. [Google Scholar] [CrossRef]
  242. Dwivedi, A.; Anjali, A.; Narzari, H.; Kumar, Y.; Sharma, H.P.; Dubey, A.; Nilima, N.; Rajan, R.; Singh, M.B.; Vishnu, V.Y. Efficacy of Bacopa monnieri (Linn.) on Cognitive Function and Alterations in Blood Metabolites in Patients with Amnestic Mild Cognitive Impairment and Early Alzheimer Disease: Protocol for an Exploratory Double-Blind, Randomized, Placebo-Controlled Trial. JMIR Res. Protoc. 2026, 15, e82891. [Google Scholar] [CrossRef]
  243. Salari, N.; Lotfi, F.; Abdolmaleki, A.; Heidarian, P.; Rasoulpoor, S.; Fazeli, J.; Najafi, H.; Mohammadi, M. The global prevalence of mild cognitive impairment in geriatric population with emphasis on influential factors: A systematic review and meta-analysis. BMC Geriatr. 2025, 25, 313. [Google Scholar] [CrossRef]
  244. Gregory, J.; Vengalasetti, Y.V.; Bredesen, D.E.; Rao, R.V. Neuroprotective herbs for the management of Alzheimer’s disease. Biomolecules 2021, 11, 543. [Google Scholar] [CrossRef]
  245. Banerjee, S.; Anand, U.; Ghosh, S.; Ray, D.; Ray, P.; Nandy, S.; Deshmukh, G.D.; Tripathi, V.; Dey, A. Bacosides from Bacopa monnieri extract: An overview of the effects on neurological disorders. Phytother. Res. 2021, 35, 5668–5679. [Google Scholar] [CrossRef]
  246. Tandon, B.; Anand, U.; Alex, B.K.; Kaur, P.; Nandy, S.; Shekhawat, M.S.; Sanyal, R.; Pandey, D.K.; Koshy, E.P.; Dey, A. Statistical optimization of in vitro callus induction of wild and cultivated varieties of Mucuna pruriens L. (DC.) using response surface methodology and assessment of L-Dopa biosynthesis. Ind. Crops Prod. 2021, 169, 113626. [Google Scholar] [CrossRef]
  247. Anand, U.; Jacobo-Herrera, N.; Altemimi, A.; Lakhssassi, N. A comprehensive review on medicinal plants as antimicrobial therapeutics: Potential avenues of biocompatible drug discovery. Metabolites 2019, 9, 258. [Google Scholar] [CrossRef]
  248. Schifano, F.; Catalani, V.; Sharif, S.; Napoletano, F.; Corkery, J.M.; Arillotta, D.; Fergus, S.; Vento, A.; Guirguis, A. Benefits and harms of ‘smart drugs’ (nootropics) in healthy individuals. Drugs 2022, 82, 633–647. [Google Scholar] [CrossRef]
  249. Greenfield, B. Boundless: Upgrade Your Brain, Optimize Your Body & Defy Aging; Victory Belt Publishing: Las Vegas, NV, USA, 2020. [Google Scholar]
  250. Suliman, N.A.; Mat Taib, C.N.; Mohd Moklas, M.A.; Adenan, M.I.; Hidayat Baharuldin, M.T.; Basir, R. Establishing natural nootropics: Recent molecular enhancement influenced by natural nootropic. Evid.-Based Complement. Altern. Med. 2016, 2016, 4391375. [Google Scholar]
  251. Manetti, D.; Dei, S.; Arias, H.R.; Braconi, L.; Gabellini, A.; Teodori, E.; Romanelli, M.N. Recent advances in the discovery of nicotinic acetylcholine receptor allosteric modulators. Molecules 2023, 28, 1270. [Google Scholar] [CrossRef]
  252. Phogat, J.; Bali, A.; Kapoor, N. Smart Drugs in Cognitive Disorders. In Applications of Synthetic Biology in Health, Energy, and Environment; IGI Global Scientific Publishing: Hershey, PA, USA, 2023; pp. 188–211. [Google Scholar]
  253. Colovic, M.B.; Krstic, D.Z.; Lazarevic-Pasti, T.D.; Bondzic, A.M.; Vasic, V.M. Acetylcholinesterase inhibitors: Pharmacology and toxicology. Curr. Neuropharmacol. 2013, 11, 315–335. [Google Scholar] [CrossRef]
  254. Fernando, W.M.A.D.B.; Martins, I.J.; Goozee, K.; Brennan, C.S.; Jayasena, V.; Martins, R.N. The role of dietary coconut for the prevention and treatment of Alzheimer’s disease: Potential mechanisms of action. Br. J. Nutr. 2015, 114, 1–14. [Google Scholar] [CrossRef]
  255. Molz, P.; Schröder, N. Potential therapeutic effects of lipoic acid on memory deficits related to aging and neurodegeneration. Front. Pharmacol. 2017, 8, 849. [Google Scholar] [CrossRef]
  256. Srivastava, A.; Srivastava, P.; Pandey, A.; Khanna, V.; Pant, A. Phytomedicine: A potential alternative medicine in controlling neurological disorders. In New Look to Phytomedicine; Elsevier: Amsterdam, The Netherlands, 2019; pp. 625–655. [Google Scholar]
  257. Kennedy, D.O.; Scholey, A.; Wesnes, K.A. Dose dependent changes in cognitive performance and mood following acute administration of Ginseng to healthy young volunteers. Nutr. Neurosci. 2001, 4, 295–310. [Google Scholar] [CrossRef]
  258. Kennedy, D.O.; Scholey, A.; Wesnes, K.A. Differential, dose dependent changes in cognitive performance following acute administration of a Ginkgo biloba/Panax ginseng combination to healthy young volunteers. Nutr. Neurosci. 2001, 4, 399–412. [Google Scholar] [CrossRef]
  259. Dar, N.J.; Ahmad, M. Neurodegenerative diseases and Withania somnifera (L.): An update. J. Ethnopharmacol. 2020, 256, 112769. [Google Scholar] [CrossRef]
  260. Baddaoui, S.; Saalaoui, E.; Khibech, O.; Salagre, D.; Fernández-Ochoa, Á.; Mamri, S.; Aktary, N.; Rahman, M.; Rani, A.; Asehraou, A. HPLC-ESI-QTOF-MS/MS-Guided Profiling of Bioactive Compounds in Fresh and Stored Saffron Corms Reveals Potent Anticancer Activity Against Colorectal Cancer. Pharmaceuticals 2026, 19, 149. [Google Scholar] [CrossRef]
  261. Guan, Y.; Tang, G.; Li, L.; Shu, J.; Zhao, Y.; Huang, L.; Tang, J. Herbal medicine and gut microbiota: Exploring untapped therapeutic potential in neurodegenerative disease management. Arch. Pharmacal Res. 2024, 47, 146–164. [Google Scholar] [CrossRef]
  262. Zheng, S.-Y.; Zhou, X.-Q. A perspective on the mechanisms of herbal medicine for cognitive impairment. Front. Neurol. 2025, 16, 1610542. [Google Scholar] [CrossRef]
  263. Abbaszadeh, F.; Fakhri, S.; Varnamkhasti, B.S.; Moradi, S.Z.; Olfati, M.H.; Moradi, Z.; Khirehgesh, M.R.; Khan, H. Restoring Gut-brain Function by Medicinal Herbs Offering Neuroprotection through Suppressing Inflammatory Pathways: A Systematic Review. Curr. Neuropharmacol. 2025, 23, 1551–1574. [Google Scholar] [CrossRef]
  264. Ji, X.; Wang, J.; Lan, T.; Zhao, D.; Xu, P. Gut microbial metabolites and the brain–gut axis in Alzheimer’s disease: A review. Biomol. Biomed. 2025, 26, 240. [Google Scholar] [CrossRef]
  265. Koga-Batko, J.; Antosz-Popiołek, K.; Suchecki, W.; Szyller, H.; Wrześniewska, M.; Dyda, M.; Leszek, J. Influence of the Gut Microbiota on the Pathogenesis of Alzheimer’s Disease: A Literature Review. Cells 2025, 14, 1578. [Google Scholar] [CrossRef] [PubMed]
  266. Akter, K.; Hong, Y.J.; Han, I.; Choi, E.H. Nonthermal plasma jet mitigates viral replication and inflammation in human coronavirus 229E-infected lung cells by targeting the NF-κB and MAPK pathways. Microb. Pathog. 2025, 206, 107838. [Google Scholar] [CrossRef]
  267. Tkaczenko, H.; Buyun, L.; Kołodziejska, R.; Kamiński, P.; Kurhaluk, N. Neuroactive phytochemicals as multi-target modulators of mental health and cognitive function: An integrative review. Int. J. Mol. Sci. 2025, 26, 8907. [Google Scholar] [CrossRef]
  268. Meng, W.; Chao, W.; Kaiwei, Z.; Sijia, M.; Jiajia, S.; Shijie, X. Bioactive compounds from Chinese herbal plants for neurological health: Mechanisms, pathways, and functional food applications. Front. Nutr. 2025, 12, 1537363. [Google Scholar] [CrossRef] [PubMed]
  269. Fu, Y.; Yang, J.; Wang, X.; Yang, P.; Zhao, Y.; Li, K.; Chen, Y.; Xu, Y. Herbal compounds play a role in neuroprotection through the inhibition of microglial activation. J. Immunol. Res. 2018, 2018, 9348046. [Google Scholar] [CrossRef]
  270. Chen, C.; Wang, G.-Q.; Li, D.-D.; Zhang, F. Microbiota–gut–brain axis in neurodegenerative diseases: Molecular mechanisms and therapeutic targets. Mol. Biomed. 2025, 6, 64. [Google Scholar] [CrossRef] [PubMed]
  271. Koike, A.; Takagi, T. Gene/protein/family name recognition in biomedical literature. In Proceedings of the HLT-NAACL 2004 Workshop: Linking Biological Literature, Ontologies and Databases, Boston, MA, USA, 6 May 2004; pp. 9–16. [Google Scholar]
  272. Odia, A.; Esezobor, O.Z. Therapeutic uses of amino acids. In Amino Acid—New Insights and Roles in Plant and Animal; IntechOpen: London, UK, 2017; pp. 4–14. [Google Scholar]
  273. Bukke, V.N.; Villani, R.; Archana, M.; Wawrzyniak, A.; Balawender, K.; Orkisz, S.; Ferraro, L.; Serviddio, G.; Cassano, T. The glucose metabolic pathway as a potential target for therapeutics: Crucial role of glycosylation in Alzheimer’s disease. Int. J. Mol. Sci. 2020, 21, 7739. [Google Scholar] [CrossRef] [PubMed]
  274. Hatcher, H.C.; Singh, R.N.; Torti, F.M.; Torti, S.V. Synthetic and natural iron chelators: Therapeutic potential and clinical use. Future Med. Chem. 2009, 1, 1643–1670. [Google Scholar] [CrossRef] [PubMed]
  275. Yan, N.; Zhang, J. Iron metabolism, ferroptosis, and the links with Alzheimer’s disease. Front. Neurosci. 2020, 13, 1443. [Google Scholar] [CrossRef] [PubMed]
  276. Ali, A.H.; Hachem, M.; Ahmmed, M.K. Docosahexaenoic acid-loaded nanoparticles: A state-of-the-art of preparation methods, characterization, functionality, and therapeutic applications. Heliyon 2024, 10, e30946. [Google Scholar] [CrossRef]
  277. Rai, S.N.; Singh, P.; Steinbusch, H.W.; Vamanu, E.; Ashraf, G.; Singh, M.P. The role of vitamins in neurodegenerative disease: An update. Biomedicines 2021, 9, 1284. [Google Scholar] [CrossRef]
  278. Plantone, D.; Pardini, M.; Caneva, S.; De Stefano, N. Is There a Role of Vitamin D in Alzheimer’s disease? CNS Neurol. Disord.-Drug Targets 2024, 23, 545–553. [Google Scholar] [CrossRef]
  279. Mishra, S.; Grewal, J.; Wal, P.; Bhivshet, G.U.; Tripathi, A.K.; Walia, V. Therapeutic potential of vasopressin in the treatment of neurological disorders. Peptides 2024, 174, 171166. [Google Scholar] [CrossRef]
  280. Szczepanska-Sadowska, E. Neuromodulation of Cardiac Ischemic Pain: Role of the Autonomic Nervous System and Vasopressin. J. Integr. Neurosci. 2024, 23, 49. [Google Scholar] [CrossRef]
  281. Harborne, J. Flavonoids. In Natural Products of Woody Plants: Chemicals Extraneous to the Lignocellulosic Cell Wall; Springer: Berlin/Heidelberg, Germany, 1989; pp. 533–570. [Google Scholar]
  282. Mattioli, R.; Francioso, A.; Mosca, L.; Silva, P. Anthocyanins: A comprehensive review of their chemical properties and health effects on cardiovascular and neurodegenerative diseases. Molecules 2020, 25, 3809. [Google Scholar] [CrossRef]
  283. dos Santos, N.M.; Batista, P.B.; Batista, A.G.; Júnior, M.R.M. Current evidence on cognitive improvement and neuroprotection promoted by anthocyanins. Curr. Opin. Food Sci. 2019, 26, 71–78. [Google Scholar] [CrossRef]
  284. Zahi, A.; Rani, A.; Aktary, N.; Rahman, M.; Mekhfi, H.; Ziyyat, A.; Park, M.N.; Legssyer, A.; Kim, B. Cardiovascular Effects, Phytochemistry, Drug Interactions, and Safety Profile of Foeniculum vulgare Mill. (Fennel): A Comprehensive Review. Pharmaceuticals 2025, 18, 1761. [Google Scholar] [CrossRef]
  285. Bindra, S.; Bose, K.; Thekkantavida, A.C.; Alsahli, T.G.; Pant, M.; Pappachen, L.K.; Kim, H.; Mathew, B. FDA-approved drugs containing dimethylamine pharmacophore: A review of the last 50 years. RSC Adv. 2024, 14, 27657–27696. [Google Scholar] [CrossRef]
  286. King, C.; Plakke, B. Maternal choline supplementation modulates cognition and induces anti-inflammatory signaling in the prefrontal cortices of adolescent rats exposed to maternal immune activation. Brain Behav. Immun.-Health 2024, 40, 100836. [Google Scholar] [CrossRef]
  287. Cadoná, F.C.; Weis, G.C.C.; Assmann, C.E.; de Oliveira Alves, A.; Bonadiman, B.d.S.R.; Machado, A.K.; Montano, M.A.E.; da Cruz, I.B.M. Functional and medicinal properties of caffeine-based common beverages. In Caffeinated and Cocoa Based Beverages; Elsevier: Amsterdam, The Netherlands, 2019; pp. 1–46. [Google Scholar]
  288. Patel, J.; King, A.; Malempati, M.; Patel, M. Understanding nootropics and cognitive enhancement: Mechanism of action and ethical considerations. Health Open Res. 2024, 6, 2. [Google Scholar] [CrossRef]
  289. Hachem, M.; Ahmmed, M.K.; Nacir-Delord, H. Phospholipidomics in clinical trials for brain disorders: Advancing our understanding and therapeutic potentials. Mol. Neurobiol. 2024, 61, 3272–3295. [Google Scholar] [CrossRef] [PubMed]
  290. Pethe, A.; Joshi, S.; Ali Dar, T.; Poddar, N.K. Revisiting the role of phospholipases in alzheimer’s: Crosstalk with processed food. Crit. Rev. Food Sci. Nutr. 2024, 65, 3928–3946. [Google Scholar] [CrossRef]
  291. Mirunalini, S.; Krishnaveni, M. Therapeutic potential of Phyllanthus emblica (amla): The ayurvedic wonder. J. Basic Clin. Physiol. Pharmacol. 2010, 21, 93–105. [Google Scholar] [CrossRef]
  292. Husain, I.; Zameer, S.; Madaan, T.; Minhaj, A.; Ahmad, W.; Iqubaal, A.; Ali, A.; Najmi, A.K. Exploring the multifaceted neuroprotective actions of Emblica officinalis (Amla): A review. Metab. Brain Dis. 2019, 34, 957–965. [Google Scholar] [CrossRef]
  293. Mishra, S.; Yadav, A.; Rajan, N. Medicinal uses of Brahmi. In Traditional Utilization and Pharmacological Properties of Medicinal Plants; Scripown Publications: Delhi, India, 2021; p. 14. [Google Scholar]
  294. Dubey, T.; Chinnathambi, S. Brahmi (Bacopa monnieri): An ayurvedic herb against the Alzheimer’s disease. Arch. Biochem. Biophys. 2019, 676, 108153. [Google Scholar] [CrossRef] [PubMed]
  295. Beevers, C.S.; Huang, S. Pharmacological and clinical properties of curcumin. Bot. Targets Ther. 2011, 2011, 5–18. [Google Scholar] [CrossRef] [PubMed]
  296. Perales-Salinas, V.; Purushotham, S.S.; Buskila, Y. Curcumin as a potential therapeutic agent for treating neurodegenerative diseases. Neurochem. Int. 2024, 178, 105790. [Google Scholar] [CrossRef] [PubMed]
  297. Esmaealzadeh, N.; Miri, M.S.; Mavaddat, H.; Peyrovinasab, A.; Ghasemi Zargar, S.; Sirous Kabiri, S.; Razavi, S.M.; Abdolghaffari, A.H. The regulating effect of curcumin on NF-κB pathway in neurodegenerative diseases: A review of the underlying mechanisms. Inflammopharmacology 2024, 32, 2125–2151. [Google Scholar] [CrossRef] [PubMed]
  298. Rahman, M.; Akter, K.; Ahmed, K.R.; Fahim, M.M.H.; Aktary, N.; Park, M.N.; Shin, S.-W.; Kim, B. Synergistic Strategies for Castration-Resistant Prostate Cancer: Targeting AR-V7, Exploring Natural Compounds, and Optimizing FDA-Approved Therapies. Cancers 2024, 16, 2777. [Google Scholar] [CrossRef]
  299. Akter, K.; Gul, K.; Mumtaz, S. Revisiting Curcumin in cancer therapy: Recent insights into molecular Mechanisms, Nanoformulations, and synergistic combinations. Curr. Issues Mol. Biol. 2025, 47, 716. [Google Scholar] [CrossRef]
  300. Liu, Q.; Wang, J.; Gu, Z.; Ouyang, T.; Gao, H.; Kan, H.; Yang, Y. Comprehensive exploration of the neuroprotective mechanisms of Ginkgo biloba leaves in treating neurological disorders. Am. J. Chin. Med. 2024, 52, 1053–1086. [Google Scholar] [CrossRef] [PubMed]
  301. Singh, B.; Kaur, P.; Singh, R.; Ahuja, P. Biology and chemistry of Ginkgo biloba. Fitoterapia 2008, 79, 401–418. [Google Scholar] [CrossRef]
  302. Wang, Z.; Zhang, Z.; Liu, J.; Guo, M.; Li, H. Panax ginseng in the treatment of Alzheimer’s disease and vascular dementia. J. Ginseng Res. 2023, 47, 506–514. [Google Scholar] [CrossRef]
  303. Kausar, T.; Anwar, S.; Hanan, E.; Yaseen, M.; Aboelnaga, S.M.; Azad, Z. Therapeutic role of ginger (Zingiber officinale)—A review. J. Pharm. Res. Int. 2021, 33, 9–16. [Google Scholar] [CrossRef]
  304. Chnadrashekhar, C.; Sharma, S.; Mukopadayay, S. A Review on Memory Enhancing Activity of Ginger. Int. J. Health Sci. 2022, 6, 14114–14127. [Google Scholar] [CrossRef]
  305. Arcusa, R.; Villaño, D.; Marhuenda, J.; Cano, M.; Cerdà, B.; Zafrilla, P. Potential role of ginger (Zingiber officinale Roscoe) in the prevention of neurodegenerative diseases. Front. Nutr. 2022, 9, 809621. [Google Scholar] [CrossRef]
  306. Sun, B.; Wu, L.; Wu, Y.; Zhang, C.; Qin, L.; Hayashi, M.; Kudo, M.; Gao, M.; Liu, T. Therapeutic potential of Centella asiatica and its triterpenes: A review. Front. Pharmacol. 2020, 11, 568032. [Google Scholar] [CrossRef]
  307. Zweig, J.A.; Brandes, M.S.; Brumbach, B.H.; Caruso, M.; Wright, K.M.; Quinn, J.F.; Soumyanath, A.; Gray, N.E. Prolonged treatment with Centella asiatica improves memory, reduces amyloid-β pathology, and activates NRF2-regulated antioxidant response pathway in 5xFAD Mice. J. Alzheimer’s Dis. 2021, 81, 1453–1468. [Google Scholar] [CrossRef] [PubMed]
  308. Thakurdesai, P.A. Centella asiatica (Gotu kola) leaves: Potential in neuropsychiatric conditions. In Nutraceuticals in Brain Health and Beyond; Elsevier: Amsterdam, The Netherlands, 2021; pp. 307–328. [Google Scholar]
  309. Azami, S.; Forouzanfar, F. Therapeutic potentialities of green tea (Camellia sinensis) in ischemic stroke: Biochemical and molecular evidence. Metab. Brain Dis. 2024, 39, 347–357. [Google Scholar] [CrossRef]
  310. Pandit, N.; Kulkarni, S.; Singhvi, G. Effect of green tea on human brain health. In Nutraceutical Fruits and Foods for Neurodegenerative Disorders; Elsevier: Amsterdam, The Netherlands, 2024; pp. 301–331. [Google Scholar]
  311. Krishna, K.; Jigar, B.; Jagruti, P. Guduchi (Tinospora cordifolia): Biological and Medicinal properties, a review. Internet J. Altern. Med. 2009, 6, 1–8. [Google Scholar] [CrossRef]
  312. Singh, R.; Bhattacharyya, C.; Prashar, V.; Arora, T.; Sharma, A.; Changotra, H.; Parkash, J. Tinospora cordifolia: A potential neuroprotective agent against various neurodegenerative diseases. J. Herb. Med. 2023, 42, 100775. [Google Scholar] [CrossRef]
  313. Saha, S.; Ghosh, S. Tinospora cordifolia: One plant, many roles. Anc. Sci. Life 2012, 31, 151–159. [Google Scholar] [CrossRef]
  314. Al Housseini, I.; Dakdouk, H.; El Natour, H.; Borjac, J. Dual Neuroprotective and Nephroprotective Effects of Mucuna pruriens, Moringa oleifera, and Silybum marianum (Milk Thistle) via Modulation of PI3K/AKT/mTOR and Nrf2/NF-κB Pathways in a Murine Comorbid PD–AKI Model. Int. J. Mol. Sci. 2026, 27, 4021. [Google Scholar] [CrossRef]
  315. Fakurazi, S.; Hairuszah, I.; Nanthini, U. Moringa oleifera Lam prevents acetaminophen induced liver injury through restoration of glutathione level. Food Chem. Toxicol. 2008, 46, 2611–2615. [Google Scholar] [CrossRef]
  316. Aljadaan, A.M.; AlSaadi, A.M.; Shaikh, I.A.; Whitby, A.; Ray, A.; Kim, D.-H.; Carter, W.G. Characterization of the Anticholinesterase and Antioxidant Properties of Phytochemicals from Moringa oleifera as a Potential Treatment for Alzheimer’s Disease. Biomedicines 2025, 13, 2148. [Google Scholar] [CrossRef]
  317. Lee, Y.-J.; Lee, Y.M.; Lee, C.-K.; Jung, J.K.; Han, S.B.; Hong, J.T. Therapeutic applications of compounds in the Magnolia family. Pharmacol. Ther. 2011, 130, 157–176. [Google Scholar] [CrossRef]
  318. Zhu, S.; Liu, F.; Zhang, R.; Xiong, Z.; Zhang, Q.; Hao, L.; Chen, S. Neuroprotective potency of neolignans in Magnolia officinalis cortex against brain disorders. Front. Pharmacol. 2022, 13, 857449. [Google Scholar] [CrossRef]
  319. Lopresti, A.L.; Smith, S.J.; Malvi, H.; Kodgule, R. An investigation into the stress-relieving and pharmacological actions of an ashwagandha (Withania somnifera) extract: A randomized, double-blind, placebo-controlled study. Medicine 2019, 98, e17186. [Google Scholar] [CrossRef]
  320. Kumar, P. Neurotherapeutic Potential of Withania somnifera: Insights from Ayurvedic Medicine. In Ashwagandha; CRC Press: Boca Raton, FL, USA, 2026; pp. 292–304. [Google Scholar]
  321. Lopresti, A.L.; Smith, S.J. Ashwagandha (Withania somnifera) for the treatment and enhancement of mental and physical conditions: A systematic review of human trials. J. Herb. Med. 2021, 28, 100434. [Google Scholar] [CrossRef]
  322. Pérez-Gómez, J.; Villafaina, S.; Adsuar, J.C.; Merellano-Navarro, E.; Collado-Mateo, D. Effects of Ashwagandha (Withania somnifera) on VO2max: A systematic review and meta-analysis. Nutrients 2020, 12, 1119. [Google Scholar] [CrossRef]
  323. Pradeep, H.L.N.R.; Perera, P.K.; Waratenne, P.R.; Samaranayake, N.; Dissanayake, W.D.N. Effects of Bacopa monnieri herbal supplement on aging and neurocognitive functions, including neurophysiological assessments, in relation to constitution (Prakriti) in healthy adults: Clinical trial protocol. Front. Med. 2026, 13, 1702773. [Google Scholar] [CrossRef]
  324. Feng, J.-X.; Zheng, M.-Q.; Tian, X.; Zimmermann, A.; Wang, A.-X.; Meng, X. Ginkgo biloba extract EGb 761 in patients with dementia and a history of cerebral infarction—Meta-analysis of pooled data from randomised clinical trials. Front. Neurol. 2025, 16, 1658064. [Google Scholar] [CrossRef]
  325. Riepe, M.; Hoerr, R.; Schlaefke, S. Ginkgo biloba extract EGb 761 is safe and effective in the treatment of mild dementia–a meta-analysis of patient subgroups in randomised controlled trials. World J. Biol. Psychiatry 2025, 26, 119–129. [Google Scholar] [CrossRef]
  326. Herrlinger, K.A.; Nieman, K.M.; Sanoshy, K.D.; Fonseca, B.A.; Lasrado, J.A.; Schild, A.L.; Maki, K.C.; Wesnes, K.A.; Ceddia, M.A. Spearmint extract improves working memory in men and women with age-associated memory impairment. J. Altern. Complement. Med. 2018, 24, 37–47. [Google Scholar] [CrossRef]
  327. Howes, M.J.R.; Perry, N.S.; Vásquez-Londoño, C.; Perry, E.K. Role of phytochemicals as nutraceuticals for cognitive functions affected in ageing. Br. J. Pharmacol. 2020, 177, 1294–1315. [Google Scholar] [CrossRef]
  328. Yang, X.; Nomoto, K.; Tohda, C. Diosgenin content is a novel criterion to assess memory enhancement effect of yam extracts. J. Nat. Med. 2021, 75, 207–216. [Google Scholar] [CrossRef]
  329. Inada, Y.; Tohda, C.; Sasabayashi, D.; Suzuki, M. Diosgenin-rich Yam (rhizome of Dioscorea batatas) extract ameliorates cognitive functions and plasma biomarkers for mild cognitive impairment and mild Alzheimer’s disease: A randomized controlled trial. Phytomed. Plus 2024, 4, 100613. [Google Scholar] [CrossRef]
  330. Nowell, J.; Crook, H.; de Leon, M.J.; Edison, P. Advances in the drug treatment of Alzheimer’s disease: Pathophysiology and mechanisms of action. BMJ 2026, 393, 078881. [Google Scholar] [CrossRef]
  331. Reiss, A.B.; Gulkarov, S.; Jacob, B.; Srivastava, A.; Pinkhasov, A.; Gomolin, I.H.; Stecker, M.M.; Wisniewski, T.; De Leon, J. Mitochondria in Alzheimer’s disease pathogenesis. Life 2024, 14, 196. [Google Scholar] [CrossRef]
  332. Lanzillotta, S.; Rolfi, L.R.; Zulli, B.; Barone, E. Metabolic breakdown: Linking insulin resistance and mitochondrial dysfunction to neurodegeneration in Alzheimer’s disease. Neural Regen. Res. 2026, 21, 2227–2237. [Google Scholar] [CrossRef]
  333. Chen, J.; Liu, B.; Yao, X.; Yang, X.; Sun, J.; Yi, J.; Xue, F.; Zhang, J.; Shen, Y.; Chen, B. AMPK/SIRT1/PGC-1α Signaling Pathway: Molecular Mechanisms and Targeted Strategies From Energy Homeostasis Regulation to Disease Therapy. CNS Neurosci. Ther. 2025, 31, e70657. [Google Scholar] [CrossRef]
  334. Pickrell, A.M.; Youle, R.J. The roles of PINK1, parkin, and mitochondrial fidelity in Parkinson’s disease. Neuron 2015, 85, 257–273. [Google Scholar] [CrossRef]
  335. Palikaras, K.; Lionaki, E.; Tavernarakis, N. Mitophagy: In sickness and in health. Mol. Cell. Oncol. 2016, 3, e1056332. [Google Scholar] [CrossRef]
  336. Price, N.L.; Gomes, A.P.; Ling, A.J.; Duarte, F.V.; Martin-Montalvo, A.; North, B.J.; Agarwal, B.; Ye, L.; Ramadori, G.; Teodoro, J.S. SIRT1 is required for AMPK activation and the beneficial effects of resveratrol on mitochondrial function. Cell Metab. 2012, 15, 675–690. [Google Scholar] [CrossRef]
  337. Islam, M.R.; Rauf, A.; Akter, S.; Akter, H.; Al-Imran, M.I.K.; Fakir, M.N.H.; Thufa, G.K.; Islam, M.T.; Hemeg, H.A.; Abdulmonem, W.A. Neuroprotective potential of curcumin in neurodegenerative diseases: Clinical insights into cellular and molecular signaling pathways. J. Biochem. Mol. Toxicol. 2025, 39, e70369. [Google Scholar] [CrossRef]
  338. Akter, K.; Lim, J.S.; Choi, E.H. Investigating the Synergistic Effect of Nitric Oxide Plasma-treated Water and Curcumin on Apoptosis in Lung Cancer Cells via intrinsic and ATR/ATM/p53-Dependent Pathways: An In Vitro Study. Plasma Chem. Plasma Process. 2026, 46, 14. [Google Scholar] [CrossRef]
  339. Ahn, C.-H.; Myong, J.S.; Ahmed, K.R.; Rahman, M.A.; Fahim, M.M.H.; Choi, M.; Rahman, M.; Choi, J.; Kim, K.; Moon, S. A pharmacoinformatic approach for studying Atractylodes Lancea DC’s anticancer potential and control ROS-mediated apoptosis against prostate cancer cells. Front. Oncol. 2025, 15, 1471110. [Google Scholar] [CrossRef]
  340. Estremor-Rodríguez, R.; Redondo-Barrera, A.; Gil-Cure, S.; Garcés-Barraza, J.; Contreras-Puentes, N. Use of curcumin as a potential therapeutic agent in Alzheimer’s disease: A systematic review. J. Pharm. Pharmacogn. Res. 2026, 14, 2274. [Google Scholar] [CrossRef]
  341. Huang, Z.; Zheng, Y.; Fan, Z.; Wei, Z.; Cai, J. Effects and mechanisms of ginsenoside Rg1 in alleviating hypothalamic oxidative stress and metabolic dysfunction via Nrf2-Tyrosine metabolism axis. Mol. Cell. Endocrinol. 2026, 616, 112775. [Google Scholar] [CrossRef]
  342. Oriquat, G.; Abdulsahib, W.K.; Jyothi, S.R.; Nayak, P.P.; Chauhan, A.S.; Singla, S.; Sead, F.F.; Polatova, D. miR-132 and Its Exosomal Form in Alzheimer’s Disease: Linking Epigenetic Regulation to Neurodegeneration. Mol. Neurobiol. 2026, 63, 185. [Google Scholar] [CrossRef]
  343. Wu, Y.; Dou, J.; Wan, X.; Leng, Y.; Liu, X.; Chen, L.; Shen, Q.; Zhao, B.; Meng, Q.; Hou, J. Histone deacetylase inhibitor MS-275 alleviates postoperative cognitive dysfunction in rats by inhibiting hippocampal neuroinflammation. Neuroscience 2019, 417, 70–80. [Google Scholar] [CrossRef]
  344. Ma, Y.; Wang, W.; Liu, S.; Qiao, X.; Xing, Y.; Zhou, Q.; Zhang, Z. Epigenetic regulation of neuroinflammation in Alzheimer’s disease. Cells 2023, 13, 79. [Google Scholar] [CrossRef]
  345. Qazi, T.J.; Quan, Z.; Mir, A.; Qing, H. Epigenetics in Alzheimer’s disease: Perspective of DNA methylation. Mol. Neurobiol. 2018, 55, 1026–1044. [Google Scholar] [CrossRef]
  346. Zingale, V.D.; Gugliandolo, A.; Mazzon, E. MiR-155: An important regulator of neuroinflammation. Int. J. Mol. Sci. 2021, 23, 90. [Google Scholar] [CrossRef]
  347. Çelik, H.; Dalkılınç, E.; Aydın, Ş.; Çelik, O.; Küçükler, S.; Topal, A.; Akay, R.; Gönüllü, S.; Yıldız, M.O.; Alım, B. Delivery of miR-25802 via Small Vesicles Protects Against Mitochondrial Injury, Oxidative Stress, and Neuroinflammation in Alzheimer’s Disease. Mol. Neurobiol. 2026, 63, 583. [Google Scholar] [CrossRef]
  348. Park, J.-Y.; Sohn, H.-Y.; Koh, Y.H.; Jo, C. Curcumin activates Nrf2 through PKCδ-mediated p62 phosphorylation at Ser351. Sci. Rep. 2021, 11, 8430. [Google Scholar] [CrossRef]
  349. Islam, F.; Nafady, M.H.; Islam, M.R.; Saha, S.; Rashid, S.; Akter, A.; Or-Rashid, M.H.; Akhtar, M.F.; Perveen, A.; Md Ashraf, G.; et al. Resveratrol and neuroprotection: An insight into prospective therapeutic approaches against Alzheimer’s disease from bench to bedside. Mol. Neurobiol. 2022, 59, 4384–4404. [Google Scholar] [CrossRef]
  350. Merlo, S.; Lipari, C.L.R.; Patti, A.; Sortino, M.A. Microglial Activation Under Hypoxic Conditions in Early Alzheimer’s Disease: Can Natural SIRT1 Activators Be Therapeutic Allies in the Inflammation–Energy Axis? Phytother. Res. 2026. online ahead of print. [Google Scholar] [CrossRef]
  351. Yang, X.; Zhou, P.; Zhao, Z.; Li, J.; Fan, Z.; Li, X.; Cui, Z.; Fu, A. Improvement effect of mitotherapy on the cognitive ability of Alzheimer’s disease through NAD+/SIRT1-mediated autophagy. Antioxidants 2023, 12, 2006. [Google Scholar] [CrossRef]
  352. Wang, R.; Wu, Y.; Liu, R.; Liu, M.; Li, Q.; Ba, Y.; Huang, H. Deciphering therapeutic options for neurodegenerative diseases: Insights from SIRT1. J. Mol. Med. 2022, 100, 537–553. [Google Scholar] [CrossRef]
  353. Wu, W.-F.; Chen, C.; Lin, J.-T.; Jiao, X.-H.; Dong, W.; Wan, J.; Liu, Q.; Qiu, Y.-K.; Sun, A.; Liu, Y.-Q. Impaired synaptic plasticity and decreased glutamatergic neuron excitability induced by SIRT1/BDNF downregulation in the hippocampal CA1 region are involved in postoperative cognitive dysfunction. Cell. Mol. Biol. Lett. 2024, 29, 79. [Google Scholar] [CrossRef]
  354. Qian, X.-H.; Xie, R.-Y.; Liu, X.-L.; Chen, S.-D.; Tang, H.-D. Mechanisms of short-chain fatty acids derived from gut microbiota in Alzheimer’s disease. Aging Dis. 2022, 13, 1252. [Google Scholar] [CrossRef]
  355. Haq, S.; Grondin, J.A.; Khan, W.I. Tryptophan-derived serotonin-kynurenine balance in immune activation and intestinal inflammation. FASEB J. 2021, 35, e21888. [Google Scholar] [CrossRef]
  356. Ghosh, S.S.; Wang, J.; Yannie, P.J.; Ghosh, S. Intestinal barrier dysfunction, LPS translocation, and disease development. J. Endocr. Soc. 2020, 4, bvz039. [Google Scholar] [CrossRef]
  357. Koemel, N.A.; Senior, A.M.; Celermajer, D.S.; Grech, A.; Gill, T.P.; Simpson, S.J.; Raubenheimer, D.; Skilton, M.R. Multi-nutrient analysis of dietary macronutrients with all-cause, cardiovascular, and cancer mortality: Data from NHANES 1999–2014. Nutrients 2023, 15, 345. [Google Scholar] [CrossRef]
  358. Iqbal, H.; Kim, Y.; Jin, M.; Rhee, D.-K. Ginseng as a therapeutic target to alleviate gut and brain diseases via microbiome regulation. J. Ginseng Res. 2025, 49, 12–21. [Google Scholar] [CrossRef]
  359. Scazzocchio, B.; Minghetti, L.; D’Archivio, M. Interaction between gut microbiota and curcumin: A new key of understanding for the health effects of curcumin. Nutrients 2020, 12, 2499. [Google Scholar] [CrossRef]
  360. Morato-Martínez, M.; López-Plaza, B.; Santurino, C.; Palma-Milla, S.; Gómez-Candela, C. A dairy product to reconstitute enriched with bioactive nutrients stops bone loss in high-risk menopausal women without pharmacological treatment. Nutrients 2020, 12, 2203. [Google Scholar] [CrossRef]
  361. Mouchtoglou, C.; Cherlet, M.; Dehau, T.; Aluwe, M.; Ducatelle, R.; Goossens, E.; Croubels, S.; Van Immerseel, F. A Low Dose of Berberine Is Metabolized in Weaned Piglets Without Major Changes to Gut Morphology or Gut Microbiota. Animals 2025, 15, 2450. [Google Scholar] [CrossRef] [PubMed]
  362. Chen, B.; Yu, X.; Zhang, L.; Huang, W.; Lyu, H.; Xu, Y.; Shen, J.; Yuan, W.; Fang, M.; Li, M.; et al. Clinical efficacy of Jingyin granules, a Chinese patent medicine, in treating patients infected with coronavirus disease 2019. Phytomedicine 2023, 108, 154496. [Google Scholar] [CrossRef]
  363. Wang, H.; Zhao, T.; Liu, Z.; Danzengquzhen; Cisangzhuoma; Ma, J.; Li, X.; Huang, X.; Li, B. The neuromodulatory effects of flavonoids and gut Microbiota through the gut-brain axis. Front. Cell. Infect. Microbiol. 2023, 13, 1197646. [Google Scholar] [CrossRef]
  364. Shen, C.-L.; Santos, J.M.; Elmassry, M.M.; Chen, F.; Ji, G.; Presto, P.; Kiritoshi, T.; Liu, X.; Neugebauer, V. Crosstalk Among Gut Microbiota, Fecal Metabolites, and Amygdala Neuropathology Genes After Ginger Polyphenol Administration in Female Rats with Neuropathic Pain: Evidence for Microbiota–Gut–Brain Connection. Nutrients 2025, 17, 1444. [Google Scholar] [CrossRef] [PubMed]
  365. Shang, A.; Cao, S.-Y.; Xu, X.-Y.; Gan, R.-Y.; Tang, G.-Y.; Corke, H.; Mavumengwana, V.; Li, H.-B. Bioactive compounds and biological functions of garlic (Allium sativum L.). Foods 2019, 8, 246. [Google Scholar] [CrossRef]
  366. Cryan, J.F.; Dinan, T.G. Mind-altering microorganisms: The impact of the gut microbiota on brain and behaviour. Nat. Rev. Neurosci. 2012, 13, 701–712. [Google Scholar] [CrossRef]
  367. Panwar, S.; Uniyal, P.; Kukreti, N.; Hashmi, A.; Verma, S.; Arya, A.; Joshi, G. Role of autophagy and proteostasis in neurodegenerative diseases: Exploring the therapeutic interventions. Chem. Biol. Drug Des. 2024, 103, e14515. [Google Scholar] [CrossRef]
  368. Le Guerroué, F.; Youle, R.J. Ubiquitin signaling in neurodegenerative diseases: An autophagy and proteasome perspective. Cell Death Differ. 2021, 28, 439–454. [Google Scholar] [CrossRef] [PubMed]
  369. Yu, X.; Ni, Q.; Han, L.; Zhang, S.; Xu, H.; Xie, J.; Liu, Y. Decode the Ubiquitinome in Parkinson’s Disease: From Pathological Aggregates to Targeted DUB Therapeutics. Neurosci. Bull. 2026. [Google Scholar] [CrossRef]
  370. Pohl, C.; Dikic, I. Cellular quality control by the ubiquitin-proteasome system and autophagy. Science 2019, 366, 818–822. [Google Scholar] [CrossRef] [PubMed]
  371. Mueed, Z.; Tandon, P.; Maurya, S.K.; Deval, R.; Kamal, M.A.; Poddar, N.K. Tau and mTOR: The hotspots for multifarious diseases in Alzheimer’s development. Front. Neurosci. 2019, 12, 1017. [Google Scholar] [CrossRef]
  372. Nourbakhsh, F.; Read, M.I.; Barreto, G.E.; Sahebkar, A. Boosting the autophagy-lysosomal pathway by phytochemicals: A potential therapeutic strategy against Alzheimer’s disease. IUBMB Life 2020, 72, 2360–2281. [Google Scholar] [CrossRef]
  373. Cuanalo-Contreras, K.; Moreno-Gonzalez, I. Natural products as modulators of the proteostasis machinery: Implications in neurodegenerative diseases. Int. J. Mol. Sci. 2019, 20, 4666. [Google Scholar] [CrossRef] [PubMed]
  374. Wang, C.; Yu, J.-T.; Miao, D.; Wu, Z.-C.; Tan, M.-S.; Tan, L. Targeting the mTOR signaling network for Alzheimer’s disease therapy. Mol. Neurobiol. 2014, 49, 120–135. [Google Scholar] [CrossRef]
  375. Selkoe, D.J. Alzheimer’s disease is a synaptic failure. Science 2002, 298, 789–791. [Google Scholar] [CrossRef] [PubMed]
  376. Abuelezz, S.A.; Hendawy, N. Spotlight on Coenzyme Q10 in scopolamine-induced Alzheimer’s disease: Oxidative stress/PI3K/AKT/GSK 3ß/CREB/BDNF/TrKB. J. Pharm. Pharmacol. 2023, 75, 1119–1129. [Google Scholar] [CrossRef]
  377. Yoshii, A.; Constantine-Paton, M. Postsynaptic BDNF-TrkB signaling in synapse maturation, plasticity, and disease. Dev. Neurobiol. 2010, 70, 304–322. [Google Scholar] [CrossRef]
  378. Bortolotto, V.C.; Dahleh, M.M.M.; Marques, L.S.; Borstmann, S.M.A.; Viana, C.E.; Pinheiro, F.C.; Balok, F.R.M.; Meichtry, L.B.; Boeira, S.P.; Guerra, G.P. Chrysin modulates the BDNF/TrkB/AKT/Creb neuroplasticity signaling pathway: Acting in the improvement of cognitive flexibility and declarative, working and aversive memory deficits caused by hypothyroidism in C57BL/6 female mice. Neuroscience 2025, 566, 28–38. [Google Scholar] [CrossRef]
  379. Adeeba; Razi, U.; Rahman, A. Phytochemicals in Neurodegenerative Diseases. In Nourishing the Brain: Diet and Nutrition Strategies in Managing Neurological Disorders; Springer: Singapore, 2026; pp. 289–306. [Google Scholar]
  380. Cipriano, G.L.; Raffaele, I.; Floramo, A.; Argento, V.; Astorino, M.F.; Lui, M.; Calabrò, M.; Anchesi, I. Phytochemical and Fungal Bioactive Compounds in the “Brain Health Triad”: A Narrative Review on Neurostimulating, Neurotrophic, and Neuroprotective Synergy. Int. J. Mol. Sci. 2026, 27, 3607. [Google Scholar] [CrossRef]
  381. Akter, K.; Kim, Y.; Choi, E.H.; Han, I. Nonthermal biocompatible plasma in stimulating osteogenic differentiation by targeting p38/FOXO1 and PI3K/AKT pathways in hBMSCs. J. Biol. Eng. 2024, 18, 35. [Google Scholar] [CrossRef]
  382. Karad, V.; Gupta, G.L. Phytochemicals encouraging neurotrophic pathways: Brain-derived neurotrophic factors as molecular targets in depression. Naunyn-Schmiedeberg’s Arch. Pharmacol. 2025, 398, 15075–15094. [Google Scholar] [CrossRef]
  383. Xiao, X.; Yan, X.; Chunhua, L.; Yang, Y. Metabolic dysfunction and mitochondrial failure in Alzheimer’s disease: Integrating pathophysiology, clinical evidence and emerging interventions. Front. Neurol. 2026, 17, 1772036. [Google Scholar] [CrossRef]
  384. Xiang, Y.; Gu, Q.; Liu, D. Brain endothelial cells in blood–brain barrier regulation and neurological therapy. Int. J. Mol. Sci. 2025, 26, 5843. [Google Scholar] [CrossRef] [PubMed]
  385. Alkhalifa, A.E.; Al-Ghraiybah, N.F.; Odum, J.; Shunnarah, J.G.; Austin, N.; Kaddoumi, A. Blood–brain barrier breakdown in Alzheimer’s disease: Mechanisms and targeted strategies. Int. J. Mol. Sci. 2023, 24, 16288. [Google Scholar] [CrossRef] [PubMed]
  386. Liu, Y.; Chen, Z.; Li, A.; Liu, R.; Yang, H.; Xia, X. The phytochemical potential for brain disease therapy and the possible nanodelivery solutions for brain access. Front. Oncol. 2022, 12, 936054. [Google Scholar] [CrossRef]
  387. Tsai, M.-M.; Chen, J.-L.; Lee, T.-H.; Liu, H.; Shanmugam, V.; Hsieh, H.-L. Brain protective effect of resveratrol via ameliorating interleukin-1β-induced MMP-9-mediated disruption of ZO-1 arranged integrity. Biomedicines 2022, 10, 1270. [Google Scholar] [CrossRef] [PubMed]
  388. Gowrikumar, S.; Tarudji, A.; McDonald, B.Z.; Balusa, S.S.; Kievit, F.M.; Dhawan, P. Claudin-1 impairs blood–brain barrier by downregulating endothelial junctional proteins in traumatic brain injury. Tissue Barriers 2025, 13, 2470482. [Google Scholar] [CrossRef]
  389. Godos, J.; Carota, G.; Caruso, G.; Micek, A.; Frias-Toral, E.; Giampieri, F.; Brito-Ballester, J.; Velasco, C.L.R.; Quiles, J.L.; Battino, M. Molecular mechanisms underlying the neuroprotective effects of polyphenols: Implications for cognitive function. EXCLI J. 2025, 24, 1262. [Google Scholar]
  390. Naim, A.; Farooqui, A.M.; Badruddeen; Khan, M.I.; Akhtar, J.; Ahmad, A.; Ashique, S.; Islam, A. Nanoengineered phytochemicals overcome blood–brain barrier constraints in neurodegenerative disorders. Front. Neurol. 2026, 17, 1792829. [Google Scholar] [CrossRef] [PubMed]
  391. Naqvi, S.; Panghal, A.; Flora, S. Nanotechnology: A promising approach for delivery of neuroprotective drugs. Front. Neurosci. 2020, 14, 498007. [Google Scholar] [CrossRef]
  392. Batool, M.; Ain, Q.U.; Rauf, S.; David, M.; Jalil, S.; Afzal, M.; Zulfiqar, S.; Bibi, M. Nanotechnology-Based Delivery of Natural Products. In Natural Products in Biomedical Research; FahumSci: Lahore, Pakistan, 2025; pp. 206–215. [Google Scholar]
  393. Chang, C.-W.; Shao, E.; Mucke, L. Tau: Enabler of diverse brain disorders and target of rapidly evolving therapeutic strategies. Science 2021, 371, eabb8255. [Google Scholar] [CrossRef]
  394. Calabrò, M.; Rinaldi, C.; Santoro, G.; Crisafulli, C. The biological pathways of Alzheimer disease: A review. AIMS Neurosci. 2021, 8, 86. [Google Scholar] [CrossRef]
  395. Aktary, N.; Jeong, Y.; Oh, S.; Shin, Y.; Sung, Y.; Rahman, M.; Ramos Santiago, L.; Choi, J.; Song, H.G.; Nurkolis, F. Unveiling the therapeutic potential of natural products in Alzheimer’s disease: Insights from in vitro, in vivo, and clinical studies. Front. Pharmacol. 2025, 16, 1601712. [Google Scholar] [CrossRef]
  396. Barkat, M.A.; Goyal, A.; Barkat, H.A.; Salauddin, M.; Pottoo, F.H.; Anwer, E.T. Herbal medicine: Clinical perspective and regulatory status. Comb. Chem. High Throughput Screen. 2021, 24, 1573–1582. [Google Scholar] [CrossRef]
  397. Singh, A.K.; Rai, S.N.; Maurya, A.; Mishra, G.; Awasthi, R.; Shakya, A.; Chellappan, D.K.; Dua, K.; Vamanu, E.; Chaudhary, S.K. Therapeutic potential of phytoconstituents in management of Alzheimer’s disease. Evid.-Based Complement. Altern. Med. 2021, 2021, 5578574. [Google Scholar] [CrossRef]
  398. Alzobaidi, N.; Quasimi, H.; Emad, N.A.; Alhalmi, A.; Naqvi, M. Bioactive compounds and traditional herbal medicine: Promising approaches for the treatment of dementia. Degener. Neurol. Neuromuscul. Dis. 2021, 11, 1–14. [Google Scholar] [CrossRef] [PubMed]
  399. Bachurin, S.O.; Bovina, E.V.; Ustyugov, A.A. Drugs in clinical trials for Alzheimer’s disease: The major trends. Med. Res. Rev. 2017, 37, 1186–1225. [Google Scholar] [CrossRef] [PubMed]
  400. Tohda, C.; Yang, X.; Matsui, M.; Inada, Y.; Kadomoto, E.; Nakada, S.; Watari, H.; Shibahara, N. Diosgenin-rich yam extract enhances cognitive function: A placebo-controlled, randomized, double-blind, crossover study of healthy adults. Nutrients 2017, 9, 1160. [Google Scholar] [CrossRef]
  401. Lee, W.-J.; Shin, Y.-W.; Kim, D.-E.; Kweon, M.-H.; Kim, M. Effect of desalted Salicornia europaea L. ethanol extract (PM-EE) on the subjects complaining memory dysfunction without dementia: A 12 week, randomized, double-blind, placebo-controlled clinical trial. Sci. Rep. 2020, 10, 19914. [Google Scholar] [CrossRef]
  402. Choudhary, D.; Bhattacharyya, S.; Bose, S. Efficacy and safety of Ashwagandha (Withania somnifera (L.) Dunal) root extract in improving memory and cognitive functions. J. Diet. Suppl. 2017, 14, 599–612. [Google Scholar] [CrossRef]
  403. Kennedy, D.; Wightman, E.; Khan, J.; Grothe, T.; Jackson, P. The acute and chronic cognitive and cerebral blood-flow effects of nepalese pepper (Zanthoxylum armatum dc.) extract—A randomized, double-blind, placebo-controlled study in healthy humans. Nutrients 2019, 11, 3022. [Google Scholar] [CrossRef] [PubMed]
  404. Ali, D.; Verma, S.; Malviya, R.; Mishra, S.; Sundram, S. Implications of herbal components in the treatment of neurological disorders. Curr. Nutr. Food Sci. 2024, 20, 677–686. [Google Scholar] [CrossRef]
  405. Zhang, W.; Xiao, D.; Mao, Q.; Xia, H. Role of neuroinflammation in neurodegeneration development. Signal Transduct. Target. Ther. 2023, 8, 267. [Google Scholar] [CrossRef]
  406. Chen, G.; Su, Y.; Chen, S.; Lin, T.; Lin, X. Polyphenols and Alzheimer’s Disease: A Review on Molecular and Therapeutic Insights with In Silico Support. Food Sci. Nutr. 2025, 13, e70496. [Google Scholar] [CrossRef]
  407. Lehoczki, A.; Fekete, M.; Jarecsny, T.; Zábó, V.; Szappanos, Á.; Csípő, T.; Lipécz, Á.; Major, D.; Fazekas-Pongor, V.; Varga, P. The Neuroprotective Role of Curcumin: From Molecular Pathways to Clinical Translation—A Narrative Review. Nutrients 2025, 17, 2884. [Google Scholar] [CrossRef] [PubMed]
  408. Bučević Popović, V.; Karahmet Farhat, E.; Banjari, I.; Jeličić Kadić, A.; Puljak, L. Bioavailability of oral curcumin in systematic reviews: A methodological study. Pharmaceuticals 2024, 17, 164. [Google Scholar] [CrossRef]
  409. Wang, J.; Liu, T.; Chen, P.; Yin, D.; Zhang, H.; Qiu, X.; Zou, S.; Li, W. Pharmacokinetic evaluation of two oral Resveratrol formulations in a randomized, open-label, crossover study in healthy fasting subjects. Sci. Rep. 2025, 15, 24515. [Google Scholar] [CrossRef]
  410. Al Mamun, A.; Shao, C.; Geng, P.; Wang, S.; Xiao, J. Polyphenols targeting NF-κB pathway in neurological disorders: What we know so far? Int. J. Biol. Sci. 2024, 20, 1332. [Google Scholar] [CrossRef]
  411. Aldekhail, N.M.; Khojah, H.; Alsaadoun, N.H.; Al-Sanea, M.M.; Alshammari, S.B.; Alhazeemi, A.H.; Aldekhail, A.M.; Aldekhail, K.M.; Alazmi, B.H.; Alrayes, R.A. Herbal Medicines in Autism Spectrum Disorder: Therapeutic Potential, Plant Components, and Dosage Guidelines. Altern. Ther. Health Med. 2025, 31, 76–89. [Google Scholar]
  412. Monagas, M.; Brendler, T.; Brinckmann, J.; Dentali, S.; Gafner, S.; Giancaspro, G.; Johnson, H.; Kababick, J.; Ma, C.; Oketch-Rabah, H. Understanding plant to extract ratios in botanical extracts. Front. Pharmacol. 2022, 13, 981978. [Google Scholar] [CrossRef]
  413. Liang, N.; Chen, Y.; Yang, S.; Liang, C.; Gao, L.; Wang, S.; Wang, Y.; Zhang, Z.; Shi, N. Chinese herbal medicine for mild cognitive impairment: A systematic review of randomized controlled trials. Front. Neurol. 2022, 13, 903224. [Google Scholar] [CrossRef]
  414. Cottart, C.H.; Nivet-Antoine, V.; Laguillier-Morizot, C.; Beaudeux, J.L. Resveratrol bioavailability and toxicity in humans. Mol. Nutr. Food Res. 2010, 54, 7–16. [Google Scholar] [CrossRef]
  415. Paliwal, H.; Prajapati, B.G.; Srichana, T. Nanotechnology-Based Drug Delivery Systems for the Treatment of Neurodegenerative Disorders. In Nanomedicine for Neurodegenerative Disorders; Apple Academic Press: Oakville, ON, Canada, 2025; pp. 147–186. [Google Scholar]
  416. Izzo, A.A.; Ernst, E. Interactions between herbal medicines and prescribed drugs: An updated systematic review. Drugs 2009, 69, 1777–1798. [Google Scholar] [CrossRef]
  417. Tan, M.-S.; Yu, J.-T.; Tan, C.-C.; Wang, H.-F.; Meng, X.-F.; Wang, C.; Jiang, T.; Zhu, X.-C.; Tan, L. Efficacy and adverse effects of ginkgo biloba for cognitive impairment and dementia: A systematic review and meta-analysis. J. Alzheimer’s Dis. 2014, 43, 589–603. [Google Scholar] [CrossRef]
  418. Shanaida, M.; Oleshchuk, O.; Shevchuk, O.; Posokhova, K.; Ivankiv, Y.; Mocherniuk, K.; Klantsa, M.; Korda, M. Herbal Medicines and Drugs Interactions: Cytochrome P450 Responsibility. Curr. Med. Chem. 2026, 33, 3614–3643. [Google Scholar] [CrossRef]
  419. Sidahmed, T.S.M.; Hassan, A.A.E.; El-Haj, A.-R.M.O.K.; Almosilhy, N.A.; Mahmoud, S.A.S.; Mohammed, M.O.O.; Ali, A.E.O.; Hassan, F.A.O.; Ibrahim, W.S.M.; Abedalla, M.M.H.; et al. Patterns of herbal medicine utilization for hypertension during the Sudanese crisis of 2025. Sci. Rep. 2026, 16, 6539. [Google Scholar] [CrossRef]
  420. Bakare, O.A.; Okonkwo, C.N.; Ibrahim, A.Y.; Adesanya, F.O. Liver failure induced by hepatotoxic drugs: Prevention and treatment strategies. Int. J. Hepatol. Sci. 2025, 7, 15–22. [Google Scholar] [CrossRef]
  421. Dubey, A.; Ghosh, N.S.; Agnihotri, N.; Kumar, A.; Pandey, M.; Nishad, S. Herbs Derived Bioactive Compounds and their Potential for the Treatment of Neurological Disorders. Clin. Schizophr. Relat. Psychoses 2022, 16, 1–11. [Google Scholar]
  422. Mohd Sairazi, N.S.; Sirajudeen, K. Natural products and their bioactive compounds: Neuroprotective potentials against neurodegenerative diseases. Evid.-Based Complement. Altern. Med. 2020, 2020, 6565396. [Google Scholar] [CrossRef]
  423. Camilo, C.J.; Leite, D.O.; da S. Mendes, J.W.; Dantas, A.R.; de Carvalho, N.K.; Castro, J.W.; Salazar, G.J.; Ferreira, M.K.A.; de Meneses, J.E.A.; da Silva, A.W.; et al. Analysis toxicity by different methods and anxiolytic effect of the aqueous extract Lippia sidoides Cham. Sci. Rep. 2022, 12, 20626. [Google Scholar] [CrossRef]
  424. Elshafie, H.S.; Camele, I.; Mohamed, A.A. A comprehensive review on the biological, agricultural and pharmaceutical properties of secondary metabolites based-plant origin. Int. J. Mol. Sci. 2023, 24, 3266. [Google Scholar] [CrossRef]
  425. Paul, S.; Chakraborty, S.; Anand, U.; Dey, S.; Nandy, S.; Ghorai, M.; Saha, S.C.; Patil, M.T.; Kandimalla, R.; Proćków, J. Withania somnifera (L.) Dunal (Ashwagandha): A comprehensive review on ethnopharmacology, pharmacotherapeutics, biomedicinal and toxicological aspects. Biomed. Pharmacother. 2021, 143, 112175. [Google Scholar] [CrossRef]
  426. Zahiruddin, S.; Basist, P.; Parveen, A.; Parveen, R.; Khan, W.; Ahmad, S. Ashwagandha in brain disorders: A review of recent developments. J. Ethnopharmacol. 2020, 257, 112876. [Google Scholar] [CrossRef]
  427. Mikulska, P.; Malinowska, M.; Ignacyk, M.; Szustowski, P.; Nowak, J.; Pesta, K.; Szeląg, M.; Szklanny, D.; Judasz, E.; Kaczmarek, G. Ashwagandha (Withania somnifera)—Current research on the health-promoting activities: A narrative review. Pharmaceutics 2023, 15, 1057. [Google Scholar] [CrossRef]
  428. Srikantha, S.; Jain, A. Investigation of water-soluble coenzyme-Q10 combined with root extract of ashwagandha as a potential therapy for Alzheimer’s Disease. In UWill Discover Student Research Conference; University of Windsor: Windsor, ON, Canada, 2024. [Google Scholar]
  429. Lerose, V.; Ponticelli, M.; Benedetto, N.; Carlucci, V.; Lela, L.; Tzvetkov, N.T.; Milella, L. Withania somnifera (L.) Dunal, a Potential Source of Phytochemicals for Treating Neurodegenerative Diseases: A Systematic Review. Plants 2024, 13, 771. [Google Scholar] [CrossRef]
  430. Singh, H.; Dhawan, B. Neuropsychopharmacological effects of the ayurvedic nootroplc Bacopa monnlera linn. (Brahmi). Indian J. Pharmacol. 1997, 29, 359–365. [Google Scholar]
  431. Valotto Neto, L.J.; Reverete de Araujo, M.; Moretti Junior, R.C.; Mendes Machado, N.; Joshi, R.K.; dos Santos Buglio, D.; Barbalho Lamas, C.; Direito, R.; Fornari Laurindo, L.; Tanaka, M. Investigating the neuroprotective and cognitive-enhancing effects of Bacopa monnieri: A systematic review focused on inflammation, oxidative stress, mitochondrial dysfunction, and apoptosis. Antioxidants 2024, 13, 393. [Google Scholar] [CrossRef]
  432. Chaudhari, K.S.; Tiwari, N.R.; Tiwari, R.R.; Sharma, R.S. Neurocognitive effect of nootropic drug Brahmi (Bacopa monnieri) in Alzheimer’s disease. Ann. Neurosci. 2017, 24, 111–122. [Google Scholar] [CrossRef]
  433. Delfan, M.; Kordestani-Moghaddam, P.; Gholami, M.; Kazemi, K.; Mohammadi, R. Evaluating the effects of Bacopa monnieri on cognitive performance and sleep quality of patients with mild cognitive impairment: A triple-blinded, randomized, placebo-controlled trial. Explore 2024, 20, 102990. [Google Scholar] [CrossRef]
  434. Shalini, V.T.; Neelakanta, S.J.; Sriranjini, J.S. Neuroprotection with Bacopa monnieri—A review of experimental evidence. Mol. Biol. Rep. 2021, 48, 2653–2668. [Google Scholar] [CrossRef]
  435. Batiha, G.E.-S.; Magdy Beshbishy, A.; Wasef, L.; Elewa, Y.H.; Abd El-Hack, M.E.; Taha, A.E.; Al-Sagheer, A.A.; Devkota, H.P.; Tufarelli, V. Uncaria tomentosa (Willd. ex Schult.) DC.: A review on chemical constituents and biological activities. Appl. Sci. 2020, 10, 2668. [Google Scholar] [CrossRef]
  436. Xu, Q.-Q.; Shaw, P.C.; Hu, Z.; Yang, W.; Ip, S.-P.; Xian, Y.-F.; Lin, Z.-X. Comparison of the chemical constituents and anti-Alzheimer’s disease effects of Uncaria rhynchophylla and Uncaria tomentosa. Chin. Med. 2021, 16, 110. [Google Scholar] [CrossRef]
  437. Baker, K.; Marcus, C.B.; Huffman, K.; Kruk, H.; Malfroy, B.; Doctrow, S.R. Synthetic combined superoxide dismutase/catalase mimetics are protective as a delayed treatment in a rat stroke model: A key role for reactive oxygen species in ischemic brain injury. J. Pharmacol. Exp. Ther. 1998, 284, 215–221. [Google Scholar] [CrossRef]
  438. Kirisattayakul, W.; Wattanathorn, J.; Tong-Un, T.; Muchimapura, S.; Wannanon, P.; Jittiwat, J. Cerebroprotective effect of Moringa oleifera against focal ischemic stroke induced by middle cerebral artery occlusion. Oxidative Med. Cell. Longev. 2013, 2013, 951415. [Google Scholar] [CrossRef]
  439. Gopalakrishnan, L.; Doriya, K.; Kumar, D.S. Moringa oleifera: A review on nutritive importance and its medicinal application. Food Sci. Hum. Wellness 2016, 5, 49–56. [Google Scholar] [CrossRef]
  440. Ghimire, S.; Subedi, L.; Acharya, N.; Gaire, B.P. Moringa oleifera: A tree of life as a promising medicinal plant for neurodegenerative diseases. J. Agric. Food Chem. 2021, 69, 14358–14371. [Google Scholar] [CrossRef]
  441. Manogna, C.; Margesan, T. In silico and pharmacokinetic studies of glucomoringin from Moringa oleifera root for Alzheimer’s disease like pathology. Future Sci. OA 2024, 10, FSO961. [Google Scholar] [CrossRef]
  442. Lee, R.; Kim, J.-H.; Kim, W.-W.; Hwang, S.-H.; Choi, S.-H.; Kim, J.-H.; Cho, I.-H.; Kim, M.; Nah, S.-Y. Emerging evidence that ginseng components improve cognition in subjective memory impairment, mild cognitive impairment, and early Alzheimer’s disease dementia. J. Ginseng Res. 2024, 48, 245–252. [Google Scholar] [CrossRef]
  443. Ha, Y.; Lee, R.; Jeon, S.H.; Kim, J.-H.; Jo, H.-S.; Kwon, T.W.; Hwang, S.-H.; Lee, J.K.; Nah, S.-Y.; Cho, I.-H. Korean Red Ginseng Marc-Derived Gintonin Improves Alzheimer’s Cognitive Dysfunction by Upregulating LPAR1. Am. J. Chin. Med. 2025, 53, 17–41. [Google Scholar] [CrossRef]
  444. Lee, M.Y.; Kim, M. Effects of Red ginseng on neuroinflammation in neurodegenerative diseases. J. Ginseng Res. 2024, 48, 20–30. [Google Scholar] [CrossRef]
  445. Parmar, S.A.; Mayasa, V.; Nelson, V.K.; Divecha, J. A Systemic Review of Ginseng and Its Activity on Coronary Heart Disease. Pharmacol. Res.-Mod. Chin. Med. 2024, 12, 100480. [Google Scholar] [CrossRef]
  446. Zhang, L.; Li, D.; Cao, F.; Xiao, W.; Zhao, L.; Ding, G. Identification of human acetylcholinesterase inhibitors from the constituents of EGb761 by modeling docking and molecular dynamics simulations. Comb. Chem. High Throughput Screen. 2018, 21, 41–49. [Google Scholar] [CrossRef]
  447. Song, W.; Zhao, J.; Yan, X.-S.; Fang, X.; Huo, D.-S.; Wang, H.; Jia, J.-X.; Yang, Z.-J. Mechanisms associated with protective effects of ginkgo biloba leaf extracton in rat cerebral ischemia reperfusion injury. J. Toxicol. Environ. Health Part A 2019, 82, 1045–1051. [Google Scholar] [CrossRef]
  448. Nowak, A.; Kojder, K.; Zielonka-Brzezicka, J.; Wróbel, J.; Bosiacki, M.; Fabiańska, M.; Wróbel, M.; Sołek-Pastuszka, J.; Klimowicz, A. The use of Ginkgo biloba L. as a neuroprotective agent in the Alzheimer’s disease. Front. Pharmacol. 2021, 12, 775034. [Google Scholar] [CrossRef]
  449. Peng, Y.; Chen, Q.; Xue, Y.-H.; Jin, H.; Liu, S.; Du, M.-Q.; Yao, S.-Y. Ginkgo biloba and Its Chemical Components in the Management of Alzheimer’s Disease. Am. J. Chin. Med. 2024, 52, 625–666. [Google Scholar] [CrossRef]
  450. Pagotto, G.L.d.O.; Santos, L.M.O.d.; Osman, N.; Lamas, C.B.; Laurindo, L.F.; Pomini, K.T.; Guissoni, L.M.; Lima, E.P.d.; Goulart, R.d.A.; Catharin, V.M.S. Ginkgo biloba: A Leaf of Hope in the Fight against Alzheimer’s Dementia: Clinical Trial Systematic Review. Antioxidants 2024, 13, 651. [Google Scholar] [CrossRef]
  451. Pastorino, G.; Cornara, L.; Soares, S.; Rodrigues, F.; Oliveira, M.B.P. Liquorice (Glycyrrhiza glabra): A phytochemical and pharmacological review. Phytother. Res. 2018, 32, 2323–2339. [Google Scholar] [CrossRef] [PubMed]
  452. Damle, M. Glycyrrhiza glabra (Liquorice)-a potent medicinal herb. Int. J. Herb. Med. 2014, 2, 132–136. [Google Scholar]
  453. Tripathi, P.N.; Lodhi, A.; Rai, S.N.; Nandi, N.K.; Dumoga, S.; Yadav, P.; Tiwari, A.K.; Singh, S.K.; El-Shorbagi, A.-N.A.; Chaudhary, S. Review of Pharmacotherapeutic Targets in Alzheimer’s Disease and Its Management Using Traditional Medicinal Plants. Degener. Neurol. Neuromuscul. Dis. 2024, 2024, 47–74. [Google Scholar] [CrossRef] [PubMed]
  454. John, O.O.; Amarachi, I.S.; Chinazom, A.P.; Adaeze, E.; Kale, M.B.; Umare, M.D.; Upaganlawar, A.B. Phytotherapy: A promising approach for the treatment of Alzheimer’s disease. Pharmacol. Res.-Mod. Chin. Med. 2022, 2, 100030. [Google Scholar] [CrossRef]
  455. Cole, G.M.; Teter, B.; Frautschy, S.A. Neuroprotective effects of curcumin. In The Molecular Targets and Therapeutic Uses of Curcumin in Health and Disease; Springer: New York, NY, USA, 2007; pp. 197–212. [Google Scholar]
  456. Issuriya, A.; Kumarnsit, E.; Wattanapiromsakul, C.; Vongvatcharanon, U. Histological studies of neuroprotective effects of Curcuma longa Linn. on neuronal loss induced by dexamethasone treatment in the rat hippocampus. Acta Histochem. 2014, 116, 1443–1453. [Google Scholar] [CrossRef]
  457. Manhas, A.; Khanna, V.; Prakash, P.; Goyal, D.; Malasoni, R.; Naqvi, A.; Dwivedi, A.K.; Dikshit, M.; Jagavelu, K. Curcuma oil reduces endothelial cell-mediated inflammation in postmyocardial ischemia/reperfusion in rats. J. Cardiovasc. Pharmacol. 2014, 64, 228–236. [Google Scholar] [CrossRef]
  458. Meesarapee, B.; Thampithak, A.; Jaisin, Y.; Sanvarinda, P.; Suksamrarn, A.; Tuchinda, P.; Morales, N.P.; Sanvarinda, Y. Curcumin I mediates neuroprotective effect through attenuation of quinoprotein formation, p-p38 MAPK expression, and caspase-3 activation in 6-hydroxydopamine treated SH-SY5Y cells. Phytother. Res. 2014, 28, 611–616. [Google Scholar] [CrossRef]
  459. Omosa, L.; Midiwo, J.; Kuete, V.  Curcuma longa. In Medicinal Spices and Vegetables from Africa; Elsevier: Amsterdam, The Netherlands, 2017; pp. 425–435. [Google Scholar]
  460. Meneses, A.K.S.; Salazar, G.J.T.; de Freitas, M.M.; de Lima, S.G. Curcuma longa: A Natural Ally in Alzheimer’s Disease Management. In Curcumin and Neurodegenerative Diseases: From Traditional to Translational Medicines; Springer: Singapore, 2024; pp. 177–191. [Google Scholar]
  461. Seeram, N.P.; Zhang, Y.; Henning, S.M.; Lee, R.; Niu, Y.; Lin, G.; Heber, D. Pistachio skin phenolics are destroyed by bleaching resulting in reduced antioxidative capacities. J. Agric. Food Chem. 2006, 54, 7036–7040. [Google Scholar] [CrossRef]
  462. Bozorgi, M.; Memariani, Z.; Mobli, M.; Surmaghi, M.S.; Shams-Ardekani, M.; Rahimi, R.F. A review of their traditional uses, phytochemistry, and pharmacology. Sci. World J. 2013, 2013, 33. [Google Scholar] [CrossRef]
  463. Polo-Hernandez, E.; Tello, V.; Arroyo, A.A.; Domínguez-Prieto, M.; de Castro, F.; Tabernero, A.; Medina, J.M. Oleic acid synthesized by stearoyl-CoA desaturase (SCD-1) in the lateral periventricular zone of the developing rat brain mediates neuronal growth, migration and the arrangement of prospective synapses. Brain Res. 2014, 1570, 13–25. [Google Scholar] [CrossRef]
  464. Gao, H.; Yan, P.; Zhang, S.; Nie, S.; Huang, F.; Han, H.; Deng, Q.; Huang, Q.; Yang, W.; Wu, H. Chronic alpha-linolenic acid treatment alleviates age-associated neuropathology: Roles of PERK/eIF2α signaling pathway. Brain Behav. Immun. 2016, 57, 314–325. [Google Scholar] [CrossRef]
  465. Golchin, L.; Shabani, M.; Harandi, S.; Razavinasab, M. Pistachio supplementation attenuates motor and cognition impairments induced by cisplatin or vincristine in rats. Adv. Biomed. Res. 2015, 4, 92. [Google Scholar] [CrossRef]
  466. Hossain, M.M.A.S.; Sarker, J.; Rahman, S.A.; Rahman, M.R.M. In vitro antioxidant and cholinesterase inhibitory activities of methanolic fruit extract of Phyllanthus acidus. BMC Complement. Med. Ther. 2015, 15, 403. [Google Scholar]
  467. Uddin, M.S.; Mamun, A.A.; Hossain, M.S.; Akter, F.; Iqbal, M.A.; Asaduzzaman, M. Exploring the effect of Phyllanthus emblica L. on cognitive performance, brain antioxidant markers and acetylcholinesterase activity in rats: Promising natural gift for the mitigation of Alzheimer’s disease. Ann. Neurosci. 2016, 23, 218–229. [Google Scholar] [CrossRef] [PubMed]
  468. Kennedy, D.; Scholey, A.B.; Tildesley, N.; Perry, E.; Wesnes, K. Modulation of mood and cognitive performance following acute administration of Melissa officinalis (lemon balm). Pharmacol. Biochem. Behav. 2002, 72, 953–964. [Google Scholar] [CrossRef] [PubMed]
  469. Kaczmarek-Kryszak, K.A.; Dobrzyńska, M.; Banaszak, M.; Drzymała-Czyż, S. A comprehensive systematic review of human trials investigating herbal treatments for Alzheimer’s disease and dementia. Acta Neuropsychiatr. 2026, online. [Google Scholar] [CrossRef]
  470. Balkrishna, A.; Joshi, S.; Shankar, R.; Prajapati, U.B.; Joshi, R.A. Edible plants: Promising source for prevention and management of Parkinson’s and Alzheimer’s disease. Arch. Alzheimer’s Park. Dis. 2026, 1, 22–28. [Google Scholar]
  471. Mori, K.; Inatomi, S.; Ouchi, K.; Azumi, Y.; Tuchida, T. Improving effects of the mushroom Yamabushitake (Hericium erinaceus) on mild cognitive impairment: A double-blind placebo-controlled clinical trial. Phytother. Res. Int. J. Devoted Pharmacol. Toxicol. Eval. Nat. Prod. Deriv. 2009, 23, 367–372. [Google Scholar] [CrossRef]
  472. Daoust, J.; Farrar, S.; Grant, A.; Erfe, M.; Oliver, P.; Luna, V.; Moos, J.; Craft, N. A randomized, double blind, placebo controlled study evaluating the impact of Hericium erinaceus (Lion’s Mane) on cognitive performance and subjective wellbeing. medRxiv 2026. [Google Scholar] [CrossRef]
  473. Tayarani-Najaran, Z.; Hadipour, E.; Ramazani, S.; Taghizadeh, L.; Ramazani, E. Antioxidant, anti-inflammatory and cytoprotective effects of crocin, a bioactive constituent of saffron, in Alzheimer’s and Parkinson’s diseases with a focus on molecular mechanisms: A systematic review. Avicenna J. Phytomed. 2026, 16, 13. [Google Scholar]
  474. Maggi, M.A.; Mastromartino, R.; Piccardi, M.; Minnella, A.M.; Marangoni, D.; Di Marco, S.; Falsini, B.; Bisti, S. Saffron as a Retinal Neuroprotectant: A Narrative Review of Preclinical Studies and Clinical Results. Antioxidants 2026, 15, 501. [Google Scholar] [CrossRef]
  475. Scholey, A.; Cox, K.; Pipingas, A.; White, D. Curcumin improves hippocampal function in healthy older adults: A three month randomised controlled trial. Proc. Nutr. Soc. 2020, 79, E440. [Google Scholar] [CrossRef]
  476. Zeppa, L.; Aguzzi, C.; Morelli, M.B. Exploring the Therapeutic Potential of Natural Compounds and Plant Extracts in Human Health. Biomolecules 2025, 15, 774. [Google Scholar] [CrossRef]
  477. Deding, U.; Baatrup, G.; Kaalby, L.; Kobaek-Larsen, M. Carrot intake and risk of developing cancer: A prospective cohort study. Nutrients 2023, 15, 678. [Google Scholar] [CrossRef]
  478. Du, M.; Liu, X.; Ji, X.; Wang, Y.; Liu, X.; Zhao, C.; Jin, E.; Gu, Y.; Wang, H.; Zhang, F. Berberine alleviates enterotoxigenic Escherichia coli-induced intestinal mucosal barrier function damage in a piglet model by modulation of the intestinal microbiome. Front. Nutr. 2025, 11, 1494348. [Google Scholar] [CrossRef]
  479. Ozorowski, M.; Wiciński, M.; Kuźmiński, O.; Wojciechowski, P.; Siedlecki, Z.; Śniegocki, M.; Włodarczyk, E. The Effects of Quercetin on Vascular Endothelium, Inflammation, Cardiovascular Disease and Lipid Metabolism—A Review. Nutrients 2025, 17, 1579. [Google Scholar] [CrossRef]
  480. Li, F.; Huang, W.; Yang, C.; Yu, B.; Wu, Q.; Du, Z. Epigallocatechin gallate induces an up-regulation of LDLR accompanied by a reduction of idol in Hepg2 cells. Nuclleus 2025, 68, 133–141. [Google Scholar] [CrossRef]
  481. Wang, Z.-y.; Deng, Y.-l.; Zhou, T.-y.; Liu, Y.; Cao, Y. Effects of natural extracts in cognitive function of healthy adults: A systematic review and network meta-analysis. Front. Pharmacol. 2025, 16, 1573034. [Google Scholar] [CrossRef]
  482. Dolan, E.W. Study Identifies Top-Performing Natural Extracts for Improving Cognitive Function. Available online: https://www.psypost.org/study-identifies-top-performing-natural-extracts-for-improving-cognitive-function/ (accessed on 9 June 2025).
  483. The Good Trade. 10 Natural Supplements For Better Brain Health. 2025. Available online: https://www.thegoodtrade.com/features/brain-focus-supplements/ (accessed on 6 October 2025).
  484. Lee, J.; Kwon, S.; Jin, C.; Cho, S.-Y.; Park, S.-U.; Jung, W.-S.; Moon, S.-K.; Park, J.-M.; Ko, C.-N.; Cho, K.-H. Traditional east asian herbal medicine treatment for Alzheimer’s Disease: A systematic review and meta-analysis. Pharmaceuticals 2022, 15, 174. [Google Scholar] [CrossRef]
  485. Dong, L.; May, B.H.; Feng, M.; Hyde, A.J.; Tan, H.Y.; Guo, X.; Zhang, A.L.; Lu, C.; Xue, C.C. Chinese herbal medicine for mild cognitive impairment: A systematic review and meta-analysis of cognitive outcomes. Phytother. Res. 2016, 30, 1592–1604. [Google Scholar] [CrossRef]
  486. Tian, J.-Z.; Shi, J.; Ni, J.-N.; Wei, M.-Q.; Zhang, X.-K.; Chen, K.-J.; Wang, Y.-Y. Sequential therapy based on evolvement of patterns: A new model for treatment of Alzheimer’s disease. Chin. J. Integr. Med. 2019, 25, 565–573. [Google Scholar] [CrossRef]
  487. Lin, Z.; Huang, T.; Zheng, G.; Chen, R.; Yao, M.; Liu, W.; Li, S. Study on the correlation between Chinese medicine syndrome and cognitive dysfunction in mild cognitive impairment. Evid.-Based Complement. Altern. Med. 2022, 2022, 7117704. [Google Scholar] [CrossRef]
  488. Chen, K.-D.; Chang, P.-T.; Ping, Y.-H.; Lee, H.-C.; Yeh, C.-W.; Wang, P.-N. Gene expression profiling of peripheral blood leukocytes identifies and validates ABCB1 as a novel biomarker for Alzheimer’s disease. Neurobiol. Dis. 2011, 43, 698–705. [Google Scholar] [CrossRef]
  489. Yang, Z.; Xie, D.; Chen, S.; Ou, A.; Lao, Y. Initial study on disposition of chinese medical symptoms and signs of mild cognitive impairment for Elder People. World J. Integr. Tradit. West. Med. 2007, 2, 219–221. [Google Scholar]
  490. Yeh, C.-W.; Liu, H.-K.; Lin, L.-C.; Liou, K.-T.; Huang, Y.-C.; Lin, C.-H.; Tzeng, T.-T.; Shie, F.-S.; Tsay, H.-J.; Shiao, Y.-J. Xuefu Zhuyu decoction ameliorates obesity, hepatic steatosis, neuroinflammation, amyloid deposition and cognition impairment in metabolically stressed APPswe/PS1dE9 mice. J. Ethnopharmacol. 2017, 209, 50–61. [Google Scholar] [CrossRef]
  491. Naughton, B.J.; Duncan, F.J.; Murrey, D.A.; Meadows, A.S.; Newsom, D.E.; Stoicea, N.; White, P.; Scharre, D.W.; Mccarty, D.M.; Fu, H. Blood genome-wide transcriptional profiles reflect broad molecular impairments and strong blood-brain links in Alzheimer’s disease. J. Alzheimer’s Dis. 2014, 43, 93–108. [Google Scholar] [CrossRef]
  492. Han, G.; Wang, J.; Zeng, F.; Feng, X.; Yu, J.; Cao, H.-Y.; Yi, X.; Zhou, H.; Jin, L.-W.; Duan, Y. Characteristic transformation of blood transcriptome in Alzheimer’s disease. J. Alzheimer’s Dis. 2013, 35, 373–386. [Google Scholar] [CrossRef]
  493. Bottero, V.; Potashkin, J.A. Meta-analysis of gene expression changes in the blood of patients with mild cognitive impairment and Alzheimer’s disease dementia. Int. J. Mol. Sci. 2019, 20, 5403. [Google Scholar] [CrossRef]
  494. Leandro, G.S.; Evangelista, A.F.; Lobo, R.R.; Xavier, D.J.; Moriguti, J.C.; Sakamoto-Hojo, E.T. Changes in expression profiles revealed by transcriptomic analysis in peripheral blood mononuclear cells of Alzheimer’s disease patients. J. Alzheimer’s Dis. 2018, 66, 1483–1495. [Google Scholar] [CrossRef]
  495. Moradi, E.; Marttinen, M.; Häkkinen, T.; Hiltunen, M.; Nykter, M. Supervised pathway analysis of blood gene expression profiles in Alzheimer’s disease. Neurobiol. Aging 2019, 84, 98–108. [Google Scholar] [CrossRef]
  496. Song, L.; Chen, J.; Lo, C.-Y.Z.; Guo, Q.; Feng, J.; Zhao, X.-M. Impaired type I interferon signaling activity implicated in the peripheral blood transcriptome of preclinical Alzheimer’s disease. eBioMedicine 2022, 82, 104175. [Google Scholar] [CrossRef]
  497. Proitsi, P.; Lee, S.H.; Lunnon, K.; Keohane, A.; Powell, J.; Troakes, C.; Al-Sarraj, S.; Furney, S.; Soininen, H.; Kłoszewska, I. Alzheimer’s disease susceptibility variants in the MS4A6A gene are associated with altered levels of MS4A6A expression in blood. Neurobiol. Aging 2014, 35, 279–290. [Google Scholar] [CrossRef]
  498. Shigemizu, D.; Mori, T.; Akiyama, S.; Higaki, S.; Watanabe, H.; Sakurai, T.; Niida, S.; Ozaki, K. Identification of potential blood biomarkers for early diagnosis of Alzheimer’s disease through RNA sequencing analysis. Alzheimer’s Res. Ther. 2020, 12, 87. [Google Scholar] [CrossRef]
  499. Roed, L.; Grave, G.; Lindahl, T.; Rian, E.; Horndalsveen, P.O.; Lannfelt, L.; Nilsson, C.; Swenson, F.; Lönneborg, A.; Sharma, P. Prediction of mild cognitive impairment that evolves into Alzheimer’s disease dementia within two years using a gene expression signature in blood: A pilot study. J. Alzheimer’s Dis. 2013, 35, 611–621. [Google Scholar] [CrossRef]
  500. Lunnon, K.; Sattlecker, M.; Furney, S.J.; Coppola, G.; Simmons, A.; Proitsi, P.; Lupton, M.K.; Lourdusamy, A.; Johnston, C.; Soininen, H. A blood gene expression marker of early Alzheimer’s disease. J. Alzheimer’s Dis. 2013, 33, 737–753. [Google Scholar] [CrossRef]
  501. Pievani, M.; de Haan, W.; Wu, T.; Seeley, W.W.; Frisoni, G.B. Functional network disruption in the degenerative dementias. Lancet Neurol. 2011, 10, 829–843. [Google Scholar] [CrossRef]
  502. Balthazar, M.L.F.; de Campos, B.M.; Franco, A.R.; Damasceno, B.P.; Cendes, F. Whole cortical and default mode network mean functional connectivity as potential biomarkers for mild Alzheimer’s disease. Psychiatry Res. Neuroimaging 2014, 221, 37–42. [Google Scholar] [CrossRef]
  503. Zhang, J.; Liu, Z.; Zhang, H.; Yang, C.; Li, H.; Li, X.; Chen, K.; Zhang, Z. A two-year treatment of amnestic mild cognitive impairment using a compound Chinese medicine: A placebo controlled randomized trial. Sci. Rep. 2016, 6, 28982. [Google Scholar] [CrossRef]
  504. Szelies, B.; Mielke, R.; Herholz, K.; Heiss, W.-D. Quantitative topographical EEG compared to FDG PET for classification of vascular and degenerative dementia. Electroencephalogr. Clin. Neurophysiol. 1994, 91, 131–139. [Google Scholar] [CrossRef]
  505. Smailovic, U.; Koenig, T.; Kåreholt, I.; Andersson, T.; Kramberger, M.G.; Winblad, B.; Jelic, V. Quantitative EEG power and synchronization correlate with Alzheimer’s disease CSF biomarkers. Neurobiol. Aging 2018, 63, 88–95. [Google Scholar] [CrossRef]
  506. Matsuoka, T.; Narumoto, J.; Shibata, K.; Okamura, A.; Taniguchi, S.; Kitabayashi, Y.; Fukui, K. Effect of Toki-Shakuyaku-San on Regional Cerebral Blood Flow in Patients with Mild Cognitive Impairment and Alzheimer′ s Disease. Evid.-Based Complement. Altern. Med. 2012, 2012, 245091. [Google Scholar] [CrossRef]
  507. Yamaguchi, S.; Matsubara, M.; Kobayashi, S. Event-related brain potential changes after Choto-san administration in stroke patients with mild cognitive impairments. Psychopharmacology 2004, 171, 241–249. [Google Scholar] [CrossRef]
  508. Oishi, M.; Mochizuki, Y.; Takasu, T.; Chao, E.; Nakamura, S. Effectiveness of traditional Chinese medicine in Alzheimer disease. Alzheimer Dis. Assoc. Disord. 1998, 12, 247–253. [Google Scholar] [CrossRef]
  509. Heo, J.-H.; Park, M.-H.; Lee, J.-H. Effect of Korean red ginseng on cognitive function and quantitative EEG in patients with Alzheimer’s disease: A preliminary study. J. Altern. Complement. Med. 2016, 22, 280–285. [Google Scholar] [CrossRef]
  510. Zhang, J.; Wang, Z.; Xu, S.; Chen, Y.; Chen, K.; Liu, L.; Wang, Y.; Guo, R.; Zhang, Z. The effects of CCRC on cognition and brain activity in aMCI patients: A pilot placebo controlled BOLD fMRI study. Curr. Alzheimer Res. 2014, 11, 484–493. [Google Scholar] [CrossRef]
  511. Warren, A.; Wynia, Z.; Corr, P.G.; Devin, M.F.; Celikkol, Z.; Gordon, L.; Farah, M.; Karam, M.; Villarreal, D.; Jackson, S.A. The microbiota–gut–brain axis in mild cognitive impairment and Alzheimer’s disease: A scoping review of human studies. Alzheimer’s Dement. 2026, 22, e71023. [Google Scholar] [CrossRef]
  512. Wu, W.; Meng, T.; Han, L.; Jin, F.; Han, P.; Zhou, Y. Bridging traditional Chinese medicine and Alzheimer’s disease: The pivotal role of gut microbiota in multitarget therapeutic mechanisms. Front. Pharmacol. 2025, 16, 1630205. [Google Scholar] [CrossRef]
  513. Rajini, P.; Muralidhara, M. Therapeutic efficacy of ayurvedic polyherbal formulations (PHF): Interactive mechanisms and broad-spectrum activities against neurological disorders. In Ayurvedic Herbal Preparations in Neurological Disorders; Elsevier: Amsterdam, The Netherlands, 2023; pp. 89–111. [Google Scholar]
  514. Bhajan, S.K.; Bishwas, A.K.; Dutta, B.; Bala, A.; Aktary, N.; Park, S.; Rahman, M.; Choi, M.; Choi, J.; Akter, S. Recent Advancements in Bioactive Natural Products and Nanoparticle-Mediated Drug Delivery in Cancer Therapy. Int. J. Mol. Sci. 2026, 27, 1356. [Google Scholar] [CrossRef]
  515. Anand, A.; Gautam, P.; Ojha, S. Application of nanotechnology for herbal medicine development: A review. Lett. Drug Des. Discov. 2024, 21, 1325–1333. [Google Scholar] [CrossRef]
  516. Halim, P.; Tan, M.L.; Yumiko; Lu, F.C.; Dalimunthe, A.; Tallei, T.E.; Rahman, M.; Rani, A.; Kim, B.; de Azambuja Ribeiro, R.I.M.; et al. Nanotechnology in Lung Cancer: Enhancing Targeted Drug Delivery and Diagnostic Precision. Results Surf. Interfaces 2026, 23, 100773. [Google Scholar] [CrossRef]
  517. Chakraborty, K.; Shivakumar, A.; Ramachandran, S. Nano-technology in herbal medicines: A review. Int. J. Herb. Med. 2016, 4, 21–27. [Google Scholar] [CrossRef]
  518. Pan, R.; Liu, G.; Zeng, Y.; He, X.; Ma, Z.; Wei, Y.; Chen, S.; Yang, L.; Tao, L. A multi-responsive self-healing hydrogel for controlled release of curcumin. Polym. Chem. 2021, 12, 2457–2463. [Google Scholar] [CrossRef]
  519. Kumar, M.; Keshwania, P.; Chopra, S.; Mahmood, S.; Bhatia, A. Therapeutic potential of nanocarrier-mediated delivery of phytoconstituents for wound healing: Their current status and future perspective. Aaps Pharmscitech 2023, 24, 155. [Google Scholar] [CrossRef]
  520. Zhou, G.; Xu, R.; Groth, T.; Wang, Y.; Yuan, X.; Ye, H.; Dou, X. The combination of bioactive herbal compounds with biomaterials for regenerative medicine. Tissue Eng. Part B Rev. 2024, 30, 607–630. [Google Scholar] [CrossRef]
  521. Shishir, M.R.I.; Gowd, V.; Suo, H.; Wang, M.; Wang, Q.; Chen, F.; Cheng, K.W. Advances in smart delivery of food bioactive compounds using stimuli-responsive carriers: Responsive mechanism, contemporary challenges, and prospects. Compr. Rev. Food Sci. Food Saf. 2021, 20, 5449–5488. [Google Scholar] [CrossRef]
  522. Patel, P.; Garala, K.; Singh, S.; Prajapati, B.G.; Chittasupho, C. Lipid-based nanoparticles in delivering bioactive compounds for improving therapeutic efficacy. Pharmaceuticals 2024, 17, 329. [Google Scholar] [CrossRef]
  523. Priya, V.M.H.; Kumaran, A. Recent trends in phytosome nanocarriers for improved bioavailability and uptake of herbal drugs. Pharm. Sci. 2023, 29, 298–319. [Google Scholar] [CrossRef]
  524. Jain, S.D.; Shrivastava, S.K.; Agrawal, A.; Gupta, A.K. WHO guidelines for quality control of herbal medicines: From cultivation to consumption. Int. J. Pharm. Chem. Anal. 2024, 11, 212–225. [Google Scholar] [CrossRef]
  525. Dawoud, A.D.H. Standardization of Medicinal Plants: Ensuring Quality, Safety, and Global Regulatory Compliance in Herbal Drug Development. Plant Biotechnol. Persa 2025, 7, 22–23. [Google Scholar] [CrossRef]
  526. Senapati, A.; Basak, S.; Rangan, L. A review on application of DNA barcoding technology for rapid molecular diagnostics of adulterants in herbal medicine. Drug Saf. 2022, 45, 193–213. [Google Scholar] [CrossRef]
  527. Khan, A.; Abdulaziz Al-Hamoud, G.; Amina, M.; Alam, P.; Hawwal, M.F.; Fantoukh, O.I. Role of herbal extracts in modulating drug metabolism: Implications for pharmacokinetics, enzyme regulation, and therapeutic outcome. Drug Metab. Rev. 2026, 58, 49–68. [Google Scholar] [CrossRef]
  528. Soni, S.; Rathee, S.; Tekade, M.; Bharti, A.; Gupta, R.; Tekade, R.K. Translational Case Studies on Marketed Phytomedicines: From Traditional Knowledge to Global Therapeutics. In Biomolecular and Safety Considerations of Phytopharmaceuticals; CRC Press: Boca Raton, FL, USA, 2026; pp. 387–407. [Google Scholar]
  529. Badria, F.A.; Elgazar, A.A. The Burden of Inappropriate Polypharmacy: Approaches to Improve Medication Safety. In Polypharmacy and Inappropriate Medication Use; IntechOpen: London, UK, 2026. [Google Scholar]
  530. Kumar, A. Potential Herb-Drug Interaction and Their Clinical Implications: Pharmacokoinetics and Pharmacodynamic Considerations. Int. J. Multidiscip. Res. 2026, 8, 1–16. [Google Scholar] [CrossRef]
  531. Mai, N.T.Q.; Hieu, N.V.; Ngan, T.T.; Van Anh, T.; Van Linh, P.; Thu Phuong, N.T. Impact of Ginkgo biloba drug interactions on bleeding risk and coagulation profiles: A comprehensive analysis. PLoS ONE 2025, 20, e0321804. [Google Scholar] [CrossRef]
  532. Sefidmooye Azar, P.; Akhlaghi, S.; Shariat-Madar, Z.; Mahdi, F. Cognitive-Enhancing Effects of Bioactive Compounds and Traditional Herbal Medicines in Elderly Patients with Metabolic Syndrome. Biomolecules 2026, 16, 535. [Google Scholar] [CrossRef]
  533. Stough, C.; Lloyd, J.; Clarke, J.; Downey, L.; Hutchison, C.; Rodgers, T.; Nathan, P. The chronic effects of an extract of Bacopa monniera (Brahmi) on cognitive function in healthy human subjects. Psychopharmacology 2001, 156, 481–484. [Google Scholar] [CrossRef]
  534. Birks, J.; Evans, J.G. Ginkgo biloba for cognitive impairment and dementia. Cochrane Database Syst. Rev. 2009, 2, CD013661. [Google Scholar] [CrossRef]
  535. Halegoua-DeMarzio, D.; Navarro, V. Challenges in herbal-induced liver injury identification and prevention. Liver Int. 2025, 45, e16071. [Google Scholar] [CrossRef]
  536. Remenapp, A.; Coyle, K.; Orange, T.; Lynch, T.; Hooper, D.; Hooper, S.; Conway, K.; Hausenblas, H. Efficacy of Withania somnifera supplementation on adult’s cognition and mood. J. Ayurveda Integr. Med. 2022, 13, 100510. [Google Scholar] [CrossRef]
  537. Scholey, A.; De Longis, E.; Hudry, J.; Owen, L. Effects of Panax ginseng and Panax quinquefolius on Cognitive Function: A Systematic Review. J. Cogn. Enhanc. 2026, 10, 201–213. [Google Scholar] [CrossRef]
  538. Lee, S.-T.; Chu, K.; Sim, J.-Y.; Heo, J.-H.; Kim, M. Panax ginseng enhances cognitive performance in Alzheimer disease. Alzheimer Dis. Assoc. Disord. 2008, 22, 222–226. [Google Scholar] [CrossRef]
  539. Yang, J.; Zhu, H.; Zhang, Q.; Dai, Y.; Yao, Q.; Nie, X. Charting the Phytopharmacological Frontier of Centella asiatica: A Quarter-Century Bibliometric Atlas Unlocking Translational Potential. Rev. Bras. De Farmacogn. 2026, 36, 33. [Google Scholar] [CrossRef]
  540. Yu, L.; Li, N.; Li, B.; Ye, K.X.; Guo, J.; Shan, J.; Cao, L.; Song, M.; Wang, Y.; Lee, T.-S. Targeting cognitive aging with curcumin supplementation: A systematic review and meta-analysis. J. Prev. Alzheimer’s Dis. 2025, 12, 100248. [Google Scholar] [CrossRef]
  541. Rashid, A.; Umer, A.; Bashir, M.; Awan, A.; Maqbool, W.; Khalid, N.; Altaf, M.; Kharl, H.A.A. Multi-Target Hepatoprotective Mechanisms of Glycyrrhiza glabra: Molecular Pathways, Experimental Evidence, and Clinical Translation. J. Health Wellness Community Res. 2026, 4, 1–17. [Google Scholar] [CrossRef]
  542. Hatayama, K.; Kono, K.; Okuma, K.; Masuyama, H. Effect of a specific food intervention with Tamogitake mushroom, Moringa leaves, or rice bran on intestinal microbiota and cognitive function in elderly Japanese. Front. Nutr. 2025, 12, 1585111. [Google Scholar] [CrossRef]
  543. González-Sánchez, M.; Ramírez-Expósito, M.J.; Martínez-Martos, J.M. Pathophysiology, clinical heterogeneity, and therapeutic advances in amyotrophic lateral sclerosis: A comprehensive review of molecular mechanisms, diagnostic challenges, and multidisciplinary management strategies. Life 2025, 15, 647. [Google Scholar] [CrossRef]
  544. Dong, J.M.; Zhong, H. Systematic Review: Proteomics-Driven Multi-Omics Integration for Alzheimer’s Disease Pathology and Precision Medicine. Neurol. Int. 2025, 17, 197. [Google Scholar] [CrossRef]
  545. Sheng, C.; Du, W.; Liang, Y.; Xu, P.; Ding, Q.; Chen, X.; Jia, S.; Wang, X. An integrated neuroimaging-omics approach for the gut-brain communication pathways in Alzheimer’s disease. Front. Aging Neurosci. 2023, 15, 1211979. [Google Scholar] [CrossRef] [PubMed]
  546. Loh, J.S.; Mak, W.Q.; Tan, L.K.S.; Ng, C.X.; Chan, H.H.; Yeow, S.H.; Foo, J.B.; Ong, Y.S.; How, C.W.; Khaw, K.Y. Microbiota–gut–brain axis and its therapeutic applications in neurodegenerative diseases. Signal Transduct. Target. Ther. 2024, 9, 37. [Google Scholar] [CrossRef] [PubMed]
  547. Wu, D.; Wang, H.; Ni, Y.; Lu, Y.; Wang, Y.; Li, H.; Chen, L. Decoding the gut–brain axis: Toward AI-driven integration of neuroimaging and gut microbiota in human health. Vis. Comput. 2025, 41, 9793–9804. [Google Scholar] [CrossRef]
  548. Kumar, R.; Nagraik, R.; Lakhanpal, S.; Abomughaid, M.M.; Jha, N.K.; Gupta, R. Artificial intelligence in gut microbiome research: Toward predictive diagnostics for neurodegenerative disorders. Acta Microbiol. Immunol. Hung. 2025, 72, 296–312. [Google Scholar] [CrossRef]
  549. Ness, S.; Adom, S.; Shepherd, N.J. AI-Driven Detection of Inherited Neurological Disorders Using Genomic and Multi-Omics Data. Int. Neuropsychiatr. Dis. J. 2026, 23, 32–44. [Google Scholar] [CrossRef]
  550. Balkrishna, A.; Sharma, N.; Srivastava, D.; Kukreti, A.; Srivastava, S.; Arya, V. Exploring the Safety, Efficacy, and Bioactivity of Herbal Medicines: Bridging Traditional Wisdom and Modern Science in Healthcare. Future Integr. Med. 2024, 3, 35–49. [Google Scholar] [CrossRef]
  551. Rudrapal, M.; Chetia, D. Herbal Drugs: Efficacy, Toxicity, and Safety Issues. In Evidence Based Validation of Traditional Medicines; Springer: Singapore, 2021; pp. 537–553. [Google Scholar]
  552. Koonrungsesomboon, N.; Sakuludomkan, C.; Na Takuathung, M.; Klinjan, P.; Sawong, S.; Perera, P.K. Study design of herbal medicine clinical trials: A descriptive analysis of published studies investigating the effects of herbal medicinal products on human participants. BMC Complement. Med. Ther. 2024, 24, 391. [Google Scholar] [CrossRef]
  553. Birks, J.S. Cholinesterase inhibitors for Alzheimer’s disease. Cochrane Database Syst. Rev. 2006, 2006, CD005593. [Google Scholar] [CrossRef]
  554. Gagnier, J.J.; DeMelo, J.; Boon, H.; Rochon, P.; Bombardier, C. Quality of reporting of randomized controlled trials of herbal medicine interventions. Am. J. Med. 2006, 119, 800.e1–800.e11. [Google Scholar] [CrossRef]
  555. Wilson, V.; Maulik, S.K. Herb-drug interactions in neurological disorders: A critical appraisal. Curr. Drug Metab. 2018, 19, 443–453. [Google Scholar] [CrossRef] [PubMed]
  556. Bhattacharya, T.; Soares, G.A.B.E.; Chopra, H.; Rahman, M.M.; Hasan, Z.; Swain, S.S.; Cavalu, S. Applications of phyto-nanotechnology for the treatment of neurodegenerative disorders. Materials 2022, 15, 804. [Google Scholar] [CrossRef]
  557. Gagnier, J.J.; Boon, H.; Rochon, P.; Moher, D.; Barnes, J.; Bombardier, C.; CONSORT Group. Reporting randomized, controlled trials of herbal interventions: An elaborated CONSORT statement. Ann. Intern. Med. 2006, 144, 364–367. [Google Scholar] [CrossRef]
  558. Ballotin, V.R.; Bigarella, L.G.; de Mello Brandão, A.B.; Balbinot, R.A.; Balbinot, S.S.; Soldera, J. Herb-induced liver injury: Systematic review and meta-analysis. World J. Clin. Cases 2021, 9, 5490. [Google Scholar] [CrossRef] [PubMed]
  559. Ma, Z.-T.; Shi, Z.; Xiao, X.-H.; Wang, J.-B. New insights into herb-induced liver injury. Antioxid. Redox Signal. 2023, 38, 1138–1149. [Google Scholar] [CrossRef] [PubMed]
  560. Shen, C.; Ren, Z.Y.; Lan, H.D.; Kong, L.Y.; Yang, M.; Su, Y.Z.; Yue, X.L.; Wan, Z.L.; Xiao, L.X.; Chen, P.P. Perspectives, experiences, and practices of healthcare professionals and patients towards herb–drug interaction: A systematic review of qualitative studies. Phytother. Res. 2025, 39, 505–520. [Google Scholar] [CrossRef]
  561. Puthiyedath, R.; Pillai, Z.S. Drug–herb interactions: A challenge and clinical concern in primary healthcare. Front. Med. 2025, 12, 1657005. [Google Scholar] [CrossRef]
  562. Park, J.-H. Evidence-based herbal medicine in efficacy and safety assessments. Adv. Tradit. Med. 2008, 8, 103–110. [Google Scholar] [CrossRef]
  563. Soldera, J. Insights into skullcap herb-induced liver injury. World J. Hepatol. 2024, 16, 120. [Google Scholar] [CrossRef]
  564. Kunle, O.F.; Egharevba, H.O.; Ahmadu, P.O. Standardization of herbal medicines-A review. Int. J. Biodivers. Conserv. 2012, 4, 101–112. [Google Scholar] [CrossRef]
  565. Cave, A.E.; Chang, D.H.; Münch, G.W.; Steiner-Lim, G.Z. A systematic review of the safety and efficacy on cognitive function of herbal and nutritional medicines in older adults with and without subjective cognitive impairment. Syst. Rev. 2023, 12, 143. [Google Scholar] [CrossRef]
  566. Moradi, S.Z.; Momtaz, S.; Bayrami, Z.; Farzaei, M.H.; Abdollahi, M. Nanoformulations of herbal extracts in treatment of neurodegenerative disorders. Front. Bioeng. Biotechnol. 2020, 8, 238. [Google Scholar] [CrossRef]
  567. Yadav, V.; Guin, S.; Nayak, S.; Mishra, A. Herbal Approaches for the Management of Neurological Disorders. In Drug Delivery Strategies in Neurological Disorders: Challenges and Opportunities; Springer: Singapore, 2024; pp. 219–247. [Google Scholar]
Figure 1. Degenerative features and affected brain regions in Alzheimer’s disease (AD) and Parkinson’s disease (PD). In AD, the accumulation of amyloid-β plaques and hyperphosphorylated tau tangles leads to neuronal disruption in the hippocampus and other cortical regions, resulting in cognitive decline, memory impairment, and behavioral abnormalities. Both genetic and environmental factors contribute to AD pathogenesis. In PD, aggregation of α-synuclein and Lewy bodies in the substantia nigra causes dopaminergic neuronal loss and characteristic motor symptoms. This schematic figure was recreated by the authors using BioRender based on published literature [54,57,58].
Figure 1. Degenerative features and affected brain regions in Alzheimer’s disease (AD) and Parkinson’s disease (PD). In AD, the accumulation of amyloid-β plaques and hyperphosphorylated tau tangles leads to neuronal disruption in the hippocampus and other cortical regions, resulting in cognitive decline, memory impairment, and behavioral abnormalities. Both genetic and environmental factors contribute to AD pathogenesis. In PD, aggregation of α-synuclein and Lewy bodies in the substantia nigra causes dopaminergic neuronal loss and characteristic motor symptoms. This schematic figure was recreated by the authors using BioRender based on published literature [54,57,58].
Nutrients 18 01796 g001
Figure 4. Herbal bioactive compounds counteract major neurodegenerative mechanisms. Neurodegenerative diseases involve interconnected mechanisms including chronic neuroinflammation, oxidative stress, mitochondrial dysfunction, β-amyloid/tau aggregation, synaptic damage, and progressive blood–brain barrier (BBB) disruption. The figure illustrates how three major phytochemicals, such as curcumin, resveratrol, and polyphenols, modulate these pathways to reduce neuronal damage [389,410]. Despite these promising mechanisms, clinical translation remains limited by bioavailability challenges, variability in formulations, and insufficient high-quality clinical evidence [408].
Figure 4. Herbal bioactive compounds counteract major neurodegenerative mechanisms. Neurodegenerative diseases involve interconnected mechanisms including chronic neuroinflammation, oxidative stress, mitochondrial dysfunction, β-amyloid/tau aggregation, synaptic damage, and progressive blood–brain barrier (BBB) disruption. The figure illustrates how three major phytochemicals, such as curcumin, resveratrol, and polyphenols, modulate these pathways to reduce neuronal damage [389,410]. Despite these promising mechanisms, clinical translation remains limited by bioavailability challenges, variability in formulations, and insufficient high-quality clinical evidence [408].
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Table 1. FDA-approved drug for AD and PD.
Table 1. FDA-approved drug for AD and PD.
Brand Name Active
Ingredient
Route of
Administration
IndicationApproval YearMechanism of ActionTargetRef.
AduhelmAducanumab-avwaIntravenous infusionAD2021↓ Amyloid-beta plaquesMonoclonal antibody[132,133]
BelsomraSuvorexantOralAD2014↓ Orexin A and Orexin BOrexin receptors (OX1R and OX2R)[134,135]
AricepDonepezil hydrochlorideOralAD1996↓ Acetylcholinesterase,
↑ acetylcholine
Acetylcholinesterase enzyme[94,136]
RazadyneGalantamine hydrobromideOralAD2001↓ Acetylcholinesterase,
↑ acetylcholine
Acetylcholinesterase enzyme, nicotinic acetylcholine receptors[137]
LeqembiLecanemab-irmbIntravenous (IV) infusionAD2023↓ Amyloid-beta protofibrilsMonoclonal antibody[138,139]
NamendaMemantine hydrochlorideOralAD2003↓ Glutamate activity, NMDA receptorsNMDA (N-methyl-D-aspartate) receptor[140]
ExelonRivastigmine tartrateOral, Transdermal patchAD2000↓ Acetylcholinesterase, butyrylcholinesteraseAcetylcholinesterase enzyme, Butyrylcholinesterase enzyme[94,141]
AzilectRasagilineOralPD2006↓ Monoamine Oxidase-B (MAO-B),
↑ Dopamine
Monoamine Oxidase-B (MAO-B) Enzyme[142,143]
ApokynApomorphineSubcutaneous (injection)PD2004↑ Dopamine activityDopamine D2 receptors[144]
ComtanEntacaponeOralPD1999↑ Dopamine availabilityCatechol-O-methyltransferase (COMT) enzyme[144,145]
DuopaLevodopa and CarbidopaIntestinal infusionPD2015↑ levodopa, DopamineDopaminergic neurons[146]
GocovriAmantadineOralPD2017↓ Excitatory neurotransmissionN-Methyl-D-Aspartate (NMDA) receptors[147]
InbrijaLevodopaInhalationPD2018↑ DopamineDopaminergic neurons[148]
KynmobiApomorphineSublingualPD2020↑ DopamineDopamine receptors[149]
Mirapex ER PramipexoleOralPD1997↑ DopamineDopamine D2 and D3 receptors[150]
NourianzIstradefyllineOralPD2019↑ Dopaminergic signalingAdenosine A2A receptors[151]
OngentysOpicaponeOralPD2020↓ levodopa-metabolizingCOMT enzyme[152]
Osmolex ERAmantadineOralPD2018↑ Glutamatergic neurotransmissionNMDA receptors[153]
RytaryLevodopa and CarbidopaOralPD2015↓ Peripheral conversion of levodopaDopaminergic neurons[154]
SinemetLevodopa and CarbidopaOralPD1975↓ levodopaDopaminergic neurons[155]
XadagoSafinamideOralPD2017↑ Glutamate release, dopaminergic activityMAO-B and sodium channels[137]
ZelaparSelegilineOralPD2006↑ DopamineMAO-B[144]
Abbreviation: ↓, downregulation; ↑, upregulation.
Table 2. Comparative summary of disease-specific pathological mechanisms, neurotransmitter alterations, and representative herbal therapeutic targets in cognitive disorders.
Table 2. Comparative summary of disease-specific pathological mechanisms, neurotransmitter alterations, and representative herbal therapeutic targets in cognitive disorders.
DisorderMajor Pathological MechanismsNeurotransmitter
Alterations
Representative Herbal Therapeutic
Targets/Compounds
Ref.
AD
  • Amyloid-β accumulation
  • Tau hyperphosphorylation
  • Oxidative stress
  • Neuroinflammation
  • Synaptic loss
↓ ACh,
Glutamate dysregulation
Ginkgo biloba, Bacopa monnieri, curcumin, resveratrol[225,226,227]
PD
  • Dopaminergic neuronal loss
  • α-synuclein aggregation
  • Mitochondrial dysfunction
  • Oxidative stress
↓ DopamineCurcumin, Panax ginseng, green tea polyphenols, resveratrol[228,229,230]
Schizophrenia
  • NMDA receptor hypofunction
  • Oxidative stress
  • Neuroinflammation
  • Synaptic dysfunction
Dopamine dysregulation, glutamate imbalance, GABA alterationsFlavonoids, alkaloids, antioxidant phytochemicals[231,232,233]
Depression
  • HPA-axis dysregulation
  • Neuroinflammation
  • Impaired neuroplasticity
  • Oxidative stress
↓ GABA, serotonin alterations, glutamate dysregulationCrocus sativus, Withania somnifera, curcumin[234,235,236]
Vascular dementia
  • Cerebral hypoperfusion
  • Ischemic injury
  • Oxidative stress
  • Endothelial dysfunction
  • Neuroinflammation
Glutamate excitotoxicity, cholinergic dysfunctionAntioxidant-rich herbs, ginseng, and polyphenols[237,238,239]
Mild cognitive impairment
  • Early synaptic dysfunction
  • Metabolic stress
  • Neuroinflammation
Cholinergic decline, neurotransmitter imbalanceBacopa monnieri, Ginkgo biloba, omega-rich botanicals[240,241,242,243]
Abbreviation: ↓, downregulation.
Table 4. Modulatory effects of herbal compounds on gut microbiota and associated neuroprotective mechanisms through the gut–brain axis.
Table 4. Modulatory effects of herbal compounds on gut microbiota and associated neuroprotective mechanisms through the gut–brain axis.
Herbal CompoundGut Microbiota
Alterations
Gut-Level MechanismNeuroprotective EffectRef.
Polyphenol-rich herbsLactobacillus,
Bifidobacterium
Prebiotic-like activity and microbial fermentation
  • Reduces neuroinflammation
  • Improves cognition
[357]
GinsengAkkermansia muciniphila,
↑ SCFA producers
Enhances mucosal integrity and microbial diversity
  • Improves BBB function and antidepressant effects
[358]
CurcuminLactobacillus,
↓ Pathogenic bacteria
Modulates gut inflammation and oxidative stress
  • Reduce microglial activation and anti-amyloid effects
[359]
Resveratrol↑ Bifidobacterium,
↑ Butyrate-producing bacteria
Enhances SCFA production and gut barrier integrity
  • Neuroprotection through anti-inflammatory signaling
[360]
BerberineAkkermansia,
EscherichiaShigella
Improves gut permeability and metabolic balance
  • Reduces neuroinflammation via decreases LPS signaling
[361]
Traditional Chinese herbal mixturesLactobacillus,
Bifidobacterium
Restores microbial balance and SCFA metabolism
  • Modulates serotonin signaling and mood regulation
[362]
Flavonoid rich herbs↑ SCFA-producing bacteriaIncreases butyrate and propionate production
  • Improves BBB integrity and neuronal survival
[363]
Ginger↑ Beneficial FirmicutesAnti-inflammatory modulation of gut microbiota
  • Reduces oxidative stress in the CNS
[364]
Garlic↑ Lactobacillus,
↓ pathogenic bacteria
Antimicrobial and prebiotic effects
  • Neuroimmune regulation through the gut–brain axis
[365]
Herbal polysaccharidesBifidobacterium,
Akkermansia
Enhances SCFA production
  • Vagus nerve activation and neuroprotection
[366]
Abbreviation: ↓, downregulation; ↑, upregulation.
Table 5. Cognitive and metabolic effects of selected traditional medicinal extracts.
Table 5. Cognitive and metabolic effects of selected traditional medicinal extracts.
Compound/ExtractDose/DurationEfficacyMechanismReference
Curcumin500 mg/day for 3 months↑ cognitive functions in older adults↓ NF-κB pathway,
↓ neuroinflammation
[297,475]
Resveratrol150 mg/day for 1 year↑ memory function↑ mitochondrial function by activating SIRT1[476,477]
Berberine500 mg × 3/day for 12 weeks↓ blood lipid and glucose level,
↑ cognitive function
Activates AMPK,
↓ neuroinflammation
[478]
Quercetin500 mg/day for 3 months↓ blood pressure,
↑ memory function
Inhibits lipid peroxidation, antioxidant activity[479]
Epigallocatechin gallate300–800 mg/day for 3 months↑ cholesterol metabolism,
↓ mental fatigue
↑ LDL receptor expression,
↑ neurogenesis,
↓ oxidative stress
[480]
Polygala tenuifolia100–300 mg/day for 3 months↑ memory function and attentionEnhances neuroplasticity,
↓ oxidative stress
[481]
Cistanche tubulosa300–600 mg/day for 84 days↑ learning and memory performance↑ acetylcholine levels[482]
Ginkgo biloba120–140 mg/day for 24 weeksSlowing cognitive decline in MCI and aging↑ cerebral blood flow[483]
Bacopa monnieri300 mg/day for 3 months↑ memory retention↓ β-amyloid accumulation[483]
Abbreviation: ↓, downregulation; ↑, upregulation.
Table 6. Summary of clinical evidence, safety profile, and formulation status of selected herbal neurotherapeutics in cognitive and neurological disorders.
Table 6. Summary of clinical evidence, safety profile, and formulation status of selected herbal neurotherapeutics in cognitive and neurological disorders.
HerbEvidence Level Meta-Analytical EvidenceAdverse Effects/InteractionsHepatotoxicity/Safety SignalStandardized
Formulation
Ref.
Bacopa monnieriPreclinical + clinicalLimitedMild GI effects,
minimal drug–herb interaction risk
RarePartially standardized extracts available[533]
Ginkgo bilobaPreclinical + clinicalYes Headache, dizziness, bleeding riskRareStandardized EGb 761 available[534]
Withania somniferaPreclinical + clinicalLimitedDrowsiness, GI upsetReported HILI casesPartially standardized[535,536]
Panax ginsengPreclinical + clinicalLimitedInsomnia, hypertensionRarestandardized extracts available[537,538]
Centella asiaticaPreclinicalLimitedAllergic reactionsLimited reportsNot fully standardized[539]
CurcuminPreclinical + clinicalMultiple meta-analysisGI discomfortRareAdvanced formulations available[540]
Glycyrrhiza glabraPreclinical + clinicalLimitedHypertension, hypokalemiaPossible hepatic interactionVariable[541]
Moringa oleiferaMainly preclinicalLimitedGI discomfortLimited reportsNot standardized[542]
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Rahman, M.; Akter, K.; Rani, A.; Park, M.N.; Kim, B. Herbal Neurotherapeutics for Cognitive Disorders: Integrative Mechanisms Linking Neurotransmitter Systems, Neurodegeneration, and the Gut-Brain Axis. Nutrients 2026, 18, 1796. https://doi.org/10.3390/nu18111796

AMA Style

Rahman M, Akter K, Rani A, Park MN, Kim B. Herbal Neurotherapeutics for Cognitive Disorders: Integrative Mechanisms Linking Neurotransmitter Systems, Neurodegeneration, and the Gut-Brain Axis. Nutrients. 2026; 18(11):1796. https://doi.org/10.3390/nu18111796

Chicago/Turabian Style

Rahman, Muntajin, Khadija Akter, Amama Rani, Moon Nyeo Park, and Bonglee Kim. 2026. "Herbal Neurotherapeutics for Cognitive Disorders: Integrative Mechanisms Linking Neurotransmitter Systems, Neurodegeneration, and the Gut-Brain Axis" Nutrients 18, no. 11: 1796. https://doi.org/10.3390/nu18111796

APA Style

Rahman, M., Akter, K., Rani, A., Park, M. N., & Kim, B. (2026). Herbal Neurotherapeutics for Cognitive Disorders: Integrative Mechanisms Linking Neurotransmitter Systems, Neurodegeneration, and the Gut-Brain Axis. Nutrients, 18(11), 1796. https://doi.org/10.3390/nu18111796

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