Search Results (148)

Background and Clinical Significance: The recreational use of semisynthetic cannabinoids (SSCs) is increasing, and SSCs account for more than 40% of all new substances reported at the European level. Although designed to mimic the effects of tetrahydrocannabinol (THC), the primary psychoactive compound in cannabis, evidence suggests that certain SSCs may elicit stronger, prolonged and unintended pharmacological effects. SSCs are easily accessible, particularly via online retailers, but in some countries, SSCs are also sold in convenience stores or specialty stores selling legal low-THC or cannabidiol (CBD) products. Often, SSCs are sold as “legal highs” and are found in various forms, including herbal mixtures (spice), vape products, and edibles such as cookies and candies, specifically targeting young users, including children. The products are frequently mislabeled and sold as souvenirs or aromatic potpourri to bypass regulations. Case Presentation: We present a case of a male in his early forties who was admitted to the Emergency Department due to noticeable deficits in alertness and responsiveness after recreational ingestion of two cannabis cookies labeled to contain 40 mg “CC9” and a bite of a gummy with unknown contents. The patient experienced vomiting and visual problems, and suffered from nine days of cognitive and physical impairment. HHC-C9, a novel SSC, was detected in blood through forensic toxicological analysis. Conclusions: Recreational use of HHC-C9 can cause vomiting, visual disturbances, and drowsiness, potentially requiring hospital treatment. Potency, clinical effects, and toxicity of SSCs can vary significantly, and in combination with easy accessibility, SSCs pose a potential risk of intoxication to unaware consumers. Full article

Cannabis is a strictly regulated plant in China, and its illegal cultivation presents significant challenges for social governance. Traditional manual patrol methods suffer from low coverage efficiency, while satellite imagery struggles to identify illicit plantations due to its limited spatial resolution, particularly for sparsely distributed and concealed cultivation. UAV remote sensing technology, with its high resolution and mobility, provides a promising solution for cannabis monitoring. However, existing detection methods still face challenges in terms of accuracy and robustness, particularly due to varying target scales, severe occlusion, and background interference. In this paper, we propose AMS-YOLO, a cannabis detection model tailored for UAV imagery. The model incorporates an asymmetric backbone network to improve texture perception by directing the model’s focus towards directional information. Additionally, it features a multi-scale fusion neck structure, incorporating partial convolution mechanisms to effectively improve cannabis detection in small target and complex background scenarios. To evaluate the model’s performance, we constructed a cannabis remote sensing dataset consisting of 1972 images. Experimental results show that AMS-YOLO achieves an mAP of 90.7% while maintaining efficient inference speed, outperforming existing state-of-the-art detection algorithms. This method demonstrates strong adaptability and practicality in complex environments, offering robust technical support for monitoring illegal cannabis cultivation. Full article

Substance use during pregnancy is an increasingly important yet under-recognized threat to maternal and child health. This narrative review synthesizes the current evidence available on the epidemiology, pathophysiology, clinical management, and policy landscape of prenatal exposure to alcohol, tobacco, opioids, benzodiazepines, cocaine, cannabis, methamphetamines, and other synthetic drugs. All major psychoactive substances readily cross the placenta and can remain detectable in breast milk, leading to a shared cascade of obstetric complications (hypertensive disorders, placental abruption, pre-term labor), fetal consequences (growth restriction, structural malformations), and neonatal morbidities such as neonatal abstinence syndrome and sudden infant death. Mechanistically, trans-placental diffusion, oxidative stress, inflammatory signaling, and placental vascular dysfunction converge to disrupt critical neuro- and cardiovascular developmental windows. Early identification hinges on the combined use of validated screening questionnaires (4 P’s Plus, CRAFFT, T-ACE, AUDIT-C, TWEAK) and matrix-specific biomarkers (PEth, EtG, FAEE, CDT), while effective treatment requires integrated obstetric, addiction, and mental health services. Medication for opioid use disorders, particularly buprenorphine, alone or with naloxone, confers superior neonatal outcomes compared to methadone and underscores the value of harm-reducing non-punitive care models. Public-health strategies, such as Mexico’s “first 1 000 days” framework, wrap-around clinics, and home-visiting programs, demonstrate the potential of multisectoral interventions, but are hampered by structural inequities and punitive legislation that deter care-seeking. Research gaps persist in polysubstance exposure, culturally tailored therapies, and long-term neurodevelopmental trajectories. Multigenerational, omics-enabled cohorts, and digital longitudinal-care platforms represent promising avenues for closing these gaps and informing truly preventive perinatal health policies. Full article

Monitoring the development of greenhouse crops is essential for optimising yield and ensuring the efficient use of resources. A system for monitoring hemp (Cannabis sativa L.) cultivation under greenhouse conditions using computer vision has been developed. This system is based on open-source automation software installed on a single-board computer. It integrates various temperature and humidity sensors and surveillance cameras, automating image capture. Hemp seeds of the Tiborszallasi variety were sown. After germination, plants were transplanted into pots. Five specimens were selected for growth monitoring by image analysis. A surveillance camera was placed in front of each plant. Different approaches were applied to analyse growth during the early stages: two traditional computer vision techniques and a deep learning algorithm. An average growth rate of 2.9 cm/day was determined, corresponding to 1.43 mm/°C day. A mean MAE value of 1.36 cm was obtained, and the results of the three approaches were very similar. After the first growth stage, the plants were subjected to water stress. An algorithm successfully identified healthy and stressed plants and also detected different stress levels, with an accuracy of 97%. These results demonstrate the system’s potential to provide objective and quantitative information on plant growth and physiological status. Full article

Although cannabis is used in a wide range of fields, including medicine and pharmacology, its use is prohibited in Japan because it contains Δ⁹-tetrahydrocannabinol (Δ⁹-THC), a compound that exhibits narcotic effects. While cannabis is primarily detected via color-based screening methods at crime scenes, the reaction products and mechanisms associated with these screening methods have not been fully elucidated. To address this issue, the colored products were isolated via the diazo-coupling reactions of the major cannabinoids (cannabidiol, cannabinol, and Δ⁹-THC) in cannabis with the Fast Blue RR diazonium salt, and their structures were determined using NMR spectroscopy. As expected, azo compound 2 was formed from cannabidiol, whereas cannabinol and Δ⁹-THC produced quinoneimines 3 and 4, respectively. This study is expected to lead to the future development of more sensitive color-based reagents that produce fewer false positives. Full article

Metabolite fingerprint profiling is a robust tool for verifying suppliers of authentic botanical ingredients. While comparative studies exist, few apply identical conditions across multiple species; this study utilized a cross-species comparison to identify versatile solvents despite biochemical variability. Multiple solvents were used for sample extraction prior to analysis by proton NMR and liquid chromatography–mass spectrometry (LC-MS) for multiple botanicals including Camellia sinensis, Cannabis sativa, Myrciaria dubia, Sambucus nigra, Zingiber officinale, Curcuma longa, Silybum marianum, Vaccinium macrocarpon, and Prunus cerasus. Comparisons were normalized by total intensity; deuterated methanol aids NMR lock but is not required for LC-MS. Hierarchical clustering analysis (HCA) evaluated solvent efficacy. Methanol–deuterium oxide (1:1) was the most effective extraction method, yielding 155 NMR spectral metabolite variables for Camellia sinensis, while methanol (90% CH₃OH + 10% CD₃OD) produced 198 for Cannabis sativa and 167 for Myrciaria dubia, with 11, 9, and 28 assigned metabolites, respectively. LC-MS detected 121 metabolites in Myrciaria dubia in methanol as the most effective extraction method. Methanol (10% deuterated) is the most effective extraction method for comprehensive metabolite fingerprinting using NMR and LC-MS protocols because it provides the broadest metabolite coverage. This study advances fit-for-purpose methods to qualify suppliers of botanical ingredients in food and NHP quality control programs. Full article

The amygdala is composed of several nuclei, including the lateral nucleus which is the main receiving area for the input from cortical and subcortical brain regions. It mediates fear, anxiety, stress, and pain across species. Evidence suggests that the endocannabinoid system may be a promising target for modulating these processes. Cannabinoid and cannabinoid-related receptors have been identified in the amygdala of rodents, carnivores, and humans, but not in horses. This study aimed to investigate the gene expression of cannabinoid receptors 1 (CB1R) and 2 (CB2R), transient receptor potential vanilloid 1 (TRPV1), and peroxisome proliferator-activated receptor gamma (PPARγ) within the lateral nucleus of six equine amygdalae collected post mortem from an abattoir using quantitative real-time PCR, cellular distribution, and immunofluorescence. mRNA expression of CB1R and CB2R, but not TRPV1 or PPARγ, was detected. The percentage of immunoreactivity (IR) was calculated using ImageJ software. Cannabinoid receptor 1 immunoreactivity was absent in the somata but was strongly detected in the surrounding neuropil and varicosities and CB2R-IR was observed in the varicosities; TRPV1-IR showed moderate expression in the cytoplasm of somata and processes, while PPARγ-IR was weak-to-moderate in the neuronal nuclei. These findings demonstrate endocannabinoid system components in the equine amygdala and may support future studies on Cannabis spp. molecules acting on these receptors. Full article

Background/Objectives: The correlation between drugs and interstitial lung disease (ILD) is reported, but the presence of the substances of abuse in the lung as a cause of disease has never been proved. In this observational study, our aim was to evaluate a possible correlation between ILD radiological findings and cannabinoids presence in broncho-alveolar lavage (BAL) or in resected lung tissue in patients with a history of cannabis smoke. Methods: Data of patients with ILD chest CT scan findings and history of drug use, submitted to BAL (Group 1), or to lung apex removal for pneumothorax (Group 2), were retrospectively collected. In both groups, drug presence was investigated. A subgroup of Group 1 was checked for the concomitant presence in blood. Fisher’s test was used to study the association between the detection of the drug and ILD. Results: In Group 1, cannabinoids were present in 12/26 (46.2%) BAL samples. ILD emerged on chest CT in 75% of the cannabinoid-positive and in 20% of the cannabinoid-negative BAL samples (p = 0.0299). In the subgroup, the patients who tested positive for cannabinoids/cocaine on BAL were 55.6%; 0% were positive only on blood (p = 0.0294). In Group 2, cannabinoids were present in 10/15 (66.7%) specimens. ILD was evident, respectively, in 40% and in 0% of the patients with cannabinoid-positive and cannabinoid-negative surgical specimens (p = 0.2308). Conclusions: The prevalence of ILD in patients with cannabinoid-positive BAL and in those with cannabinoid-positive surgical specimens suggests that ILD could be caused by cannabis smoke. The non-concomitant presence of substances in BAL and in blood advocates the diagnostic usefulness of searching for the drug in the target organ. Full article

Several species of Fusarium are reported to infect inflorescences of high-THC-containing cannabis (Cannabis sativa L.) plants grown in greenhouses in Canada. These include F. graminearum, F. sporotrichiodes, F. proliferatum, and, to a lesser extent, F. oxysporum and F. solani. The greatest concern surrounding the infection of cannabis by these Fusarium species, which cause symptoms of bud rot, is the potential for the accumulation of mycotoxins that may go undetected. In the present study, both naturally infected and artificially infected inflorescence tissues were tested for the presence of fungal-derived toxins using HPLC-MS/MS analysis. Naturally infected cannabis tissues were confirmed to be infected by both F. avenaceum and F. graminearum using PCR. Pure cultures of these two species and F. sporotrichiodes were inoculated onto detached inflorescences of two cannabis genotypes, and after 7 days, they were dried and assayed for mycotoxin presence. In these assays, all Fusarium species grew prolifically over the tissue surface. Tissues infected by F. graminearum contained 3-acetyl DON, DON, and zearalenone in the ranges of 0.13–0.40, 1.18–1.91, and 31.8 to 56.2 μg/g, respectively, depending on the cannabis genotype. In F. sporotrichiodes-infected samples, HT2 and T2 mycotoxins were present at 13.9 and 10.9 μg/g in one genotype and were lower in the other. In F. avenaceum-inoculated tissues, the mycotoxins enniatin A, enniatin A1, enniatin B, and enniatin B1 were produced at varying concentrations, depending on the isolate and cannabis genotype. Unexpectedly, these tissues also contained detectable levels of 3-acetyl DON, DON, and zearalenone, which was attributed to apre-existing natural infection by F. graminearum that was confirmed by RT-qPCR. Beauvericin was detected in tissues infected by F. avenaceum and F. sporotrichiodes, but not by F. graminearum. Naturally infected, dried inflorescences from which F. avenaceum was recovered contained beauvericin, enniatin A1, enniatin B, and enniatin B1 as expected. Uninoculated cannabis inflorescences were free of mycotoxins except for culmorin at 0.348 μg/g, reflecting pre-existing infection by F. graminearum. The mycotoxin levels were markedly different between the two cannabis genotypes, despite comparable mycelial colonization. Tall fescue plants growing in the vicinity of the greenhouse were shown to harbor F. avenaceum and F. graminearum, suggesting a likely external source of inoculum. Isolates of both species from tall fescue produced mycotoxins when inoculated onto cannabis inflorescences. These findings demonstrate that infection by F. graminearum and F. avenaceum, either from artificial inoculation or natural inoculum originating from tall fescue plants, can lead to mycotoxin accumulation in cannabis inflorescences. However, extensive mycelial colonization following prolonged incubation of infected tissues under high humidity conditions is required. Inoculations with Penicillium citrinum and Aspergillus ochraceus under these conditions produced no detectable mycotoxins. The mycotoxins alternariol and tentoxin were detected in several inflorescence samples, likely as a result of natural infection by Alternaria spp. Fusarium avenaceum is reported to infect cannabis inflorescences for the first time and produces mycotoxins in diseased tissues. Full article

Background and objectives. Symptoms of Attention Deficit Hyperactivity Disorder (ADHD) are frequently present in university students, even without a clinical diagnosis, and may be aggravated by various factors. This study analyzes the relationship between these symptoms and the use of alcohol, tobacco, cannabis, and other drugs by young university students. Materials and methods. A cross-sectional study was conducted with 397 university students using an anonymous online questionnaire. ADHD symptoms were assessed with the Adult ADHD Self-Report Scale (ASRS), alcohol use with the Alcohol Use Disorders Identification Test (AUDIT-C), nicotine dependence with the Fagerström test, cannabis use with the Cannabis Abuse Screening Test (CAST), and the use of other substances with an adaptation of the latter. Results. The mean age was 21.4 years, and most participants (76.6%) were women. Of the participants, 46.1% presented symptoms compatible with ADHD according to the ASRS. The most frequent items were difficulty maintaining attention during boring tasks (77.3%), avoiding tasks that require mental effort (76.8%), and being easily distracted by noise or external activity (73.8%). Significant differences were found between ASRS scores and gender, with scores being higher and more consistent among those students who identified themselves as non-binary gender (male or female) (p < 0.01). A significant association was also found between smoking and a higher ASRS score (p < 0.01). Although no significant associations with body mass index were detected, a trend toward greater symptomatology was observed in obese individuals. In multivariate analysis, still gender and smoking significantly (p = 0.12 and p = 0.031, respectively) predicted ADHD symptoms (ASRS score). The model R = 0.228 (R squared = 0.052, F = 1.62, p = 0.077). No statistically significant differences were found between ADHD symptoms and the use of alcohol, cannabis, or other substances in either bivariate or multivariate analyses. Conclusions. This study underscores the importance of early detection of ADHD symptoms in the university setting, considering factors such as gender and smoking habit. Future research should focus on aggravating factors such as academic stress and problematic technology use. Full article

Cannabidiol (CBD), a phytocannabinoid commonly isolated from chemotype III Cannabis sativa plants, is known for its therapeutic potential. However, comprehensive information on its bioavailability is still lacking. The key objective of this study was to investigate the impact of specific formulations on CBD delivery to the site of action and, in particular, the brain of experimental animals. As brain tissue is an extremely complex matrix, a highly sensitive method employing liquid chromatography–tandem mass spectrometry (LC-MS/MS) had to be implemented. To make it applicable for multiple analytes, the method was validated for 17 other phytocannabinoids and selected metabolites. Using this method, a pharmacokinetic study was conducted on 200 brain samples collected from rats that had been administered various CBD formulations (carriers) via oral gavage. The peak concentration in brain occurred within 1–2 h; notably, the highest was reached with carriers containing triacylglycerols with the shortest fatty acid chains (caprylic/capric). In addition to the parent compound, 7-hydroxy-cannabidiol and 7-carboxy-cannabidiol were detected, confirming rapid post-administration metabolism. Overall, this research enhances understanding of CBD distribution in the brain and underscores the impact of specific formulations on its bioavailability, offering insights into optimizing CBD-based therapies to be both effective and ‘patient-friendly’. Full article

Cannabis remains the most widely used illicit drug worldwide, identifying it is a routine procedure in forensic toxicology. Due to its widespread use, there is a need for analytical methods that can detect it in biological samples. Hair is of particular interest in forensic toxicology as it is the only biological sample that enables retrospective analysis of consumption. In addition, collecting hair is non-invasive, and the specimens can be stored at room temperature. However, the sample preparation process for hair is tedious and multi-step. To address this issue, this study introduces a novel approach to preparing hair samples for analysis, based on air-assisted liquid–liquid microextraction (AALLME). This technique is a modification of dispersive liquid–liquid microextraction (DLLME), which eliminates the need for dispersants and chlorinated organic solvents as extractants. Both techniques offer sustainable alternatives to conventional liquid–liquid extraction (LLE) and solid-phase extraction (SPE), making them of interest in forensic toxicology. This study is the first to report the application of AALLME to the hair matrix. A mixture of cyclohexane and ethyl acetate (9:1) was used as the extractant solvent. Gas chromatography–mass spectrometry (GC–MS) was then used to determine and quantify THC. The method was validated according to FDA guidelines and demonstrated good linearity within the 0.01–4 ng/mg range. The limits of detection (LOD) and quantification (LOQ) were 0.008 and 0.01 ng/mg, respectively. Finally, the applicability of the method was evaluated by analyzing hair samples received by the Forensic Toxicology Service. Full article

Cannabis sativa L. is divided into three main groups: drug-type, intermediate-type, and fiber-type. The presence of tetrahydrocannabinol (THC) exceeding 0.2–0.3% in drug-type and intermediate Cannabis that utilized for recreational and medicinal purposes renders them illegal due to potential mental health implications. Fiber-type contains high cannabidiol (CBD) and low THC, making it suitable for household use such as textiles and animal feed. Accurate classification is essential to prevent misuse of the plant. High-performance thin-layer chromatography (HPTLC) and ultra-performance liquid chromatography (UPLC), used respectively for the qualitative and quantitative analyses of THC and CBD particularly in female inflorescences, categorized 85 samples of 46 cultivars used in this study into three distinct chemotypes. While chemotype analysis of a very specific organ of the plants accurately identifies Cannabis groups, it requires time-consuming plant development to maturity. Genotype analysis targeting tetrahydrocannabinolic acid synthase (THCAS) and cannabidiolic acid synthase (CBDAS) genes offers a faster alternative for classifying Cannabis types, allowing for sample determination from any part at any developmental stage of the plant. DNA sequencing allowed a phylogenetic analysis based on these genes, classifying all 85 samples of 46 cultivars into the same three groups identified by chemotype analysis. This study is the first to successfully examine the relationship between chemotype and genotype in 85 samples of 46 cultivars. Rapid identification of Cannabis types through genotype analysis lays the groundwork for future development of detection kits. Full article

Since the 1990s, cannabis has experienced a gradual easing of access restrictions, accompanied by the expansion of its legalization and commercialization. This shift has led to the proliferation of cannabis-based products, available as cosmetics, food supplements, and pharmaceutical dosage forms. Consequently, there has been a growing demand for reliable and reproducible extraction techniques alongside precise analytical methods for detecting and quantifying cannabinoids, both of which are essential for ensuring consumer safety and product quality. Given the variability in extraction and quantification techniques across laboratories, significant attention has recently been directed toward method validation. Validated methods ensure precise cannabinoid measurement in cannabis-based products, supporting compliance with dosage guidelines and legal limits. Thus, this review highlights recent advancements in these areas, with a particular focus on High-Performance Liquid Chromatography (HPLC) coupled with Ultraviolet (UV) detection, as it is considered the gold standard for cannabinoid analysis included in cannabis monographs present in several pharmacopeias. The research focused on studies published between January 2022 and December 2024, sourced from PubMed, Scopus, and Web of Science, that employed an HPLC-UV analytical technique for the detection of phytocannabinoids. Additionally, the review examines cannabinoid extraction techniques and the validation methodologies used by the authors in the selected papers. Notably, ultrasound extraction has emerged as the most widely utilized technique across various matrices, with Deep Eutectic Solvents (DESs) offering a promising, efficient, and environmentally friendly extraction alternative. Analytical chromatographic separations continue to be predominantly conducted using C18 reversed-phase columns. Nevertheless, in recent years, researchers have explored various stationary phases, particularly to achieve the enantioseparation of cannabinoids. Full article

The ultra-high-performance liquid chromatography high-resolution mass spectrometry (LC-ESI-HR-MS/MS) technique was used to characterize the polyphenolic fraction of the hot water infusion (WI) of inflorescences of Cannabis sativa L. Kompolti variety, commercially used for food preparations or cosmetic purposes. On water infusion extract, we applied a multidisciplinary approach, where NMR, MS, in vitro cell-free and cell-based assays coupled with in silico studies, were used to rationalize at the molecular level the effects of the major component Cannabidiol (CBD), in a model of Parkinson’s disease (PD). The phytochemical analysis by LC-MS/MS led to the tentative identification of many components belonging to different classes of polyphenols, such as phenolic acids, flavonoids, and their glycosides. CBD and cannabidiolic acid (CBDA) were also detected in good amounts in the infusion, together with several minor cannabinoids. In addition, the water infusion WI was evaluated for mineral content, total phenolic content, flavonoid content, and antioxidant capacity by DPPH and FRAP methods. Notably, our results in a cellular model of PD highlight that CBD protects against rotenone-induced cell death without recovering neuronal morphology. These biological outcomes were rationalized by an in silico approach, where we hypothesize that CBD could influence the cellular response to oxidative stress via its interaction with the Keap1/Nrf2 pathway. In summary, these results enriched the nutraceutical profile of the water infusion of the inflorescences of the Kompolti cultivar, which demonstrated a high CBD content. This study could lead to the development of dietary supplements that could help in the management of clinical symptoms related to the antioxidant activity of CBD in the pathophysiology of PD, which remains poorly characterized. Full article