Search Results (393)

Background: The dual nature of cannabis, as both a promising therapeutic tool and a widely used recreational substance with potential risks, raises important societal controversies, including its unclear impacts regarding mental health. This narrative review provides a comprehensive overview of cannabis, addressing (i) its historical context; (ii) its chemical composition and pharmacokinetics; (iii) its pharmacological effects; (iv) its negative impacts on physiological and mental health; (v) its potential use as a drug for the treatment of neurological and psychiatric disorders; (vi) its relationship with the gut microbiome and how this interaction might influence mental functioning; (vii) the pathophysiology, prevalence, comorbidities, and treatment strategies of cannabis use disorder; and (viii) social perspectives on its legalization. Results: Cannabis presents a complex chemical profile and pharmacokinetics that show promise in treating numerous neurological, psychiatric, and psychological conditions. However, its use carries risks, which depend on factors such as compound concentration, dosage, consumption method, frequency of use, and individual vulnerability. Cannabis use disorder seems to be less severe than other substance use disorders, but it still constitutes a significant concern, as its manifestation is not uniform across all users. Conclusions: Cannabis demands a thorough understanding that goes beyond simplistic explanations and prejudices, standing as a plant of substantial clinical significance and highlighting the importance of personalized approaches to its use and increased awareness of how individuals respond to its effects. Full article

The number of puppies imported to the United Kingdom (UK) from the European Union (EU) is increasing, as are concerns about the legality, welfare and potential disease risks associated with their trade. This study aimed to use an online survey to collect questionnaire data from UK residents about their awareness and knowledge of EU Pet Passports, illegal puppy importation, and dog-borne exotic diseases and the risks they might pose to UK-resident dogs and people. Valid responses were collected from n = 7184 UK residents, mainly current dog owners. We identified substantial knowledge gaps relating to EU Pet Passports, how puppies might be moved across Europe, and the legal age of importation. Awareness of exotic diseases was poor; knowledge about the risks they posed was even poorer, particularly in relation to dog–human transmission. With some respondents not even being confident that they had heard of rabies, there is substantial work to do to ensure that the UK canine and human populations remain safe in the face of significant welfare and exotic disease threats. These knowledge deficits may facilitate the burgeoning illegal trade in puppies across the EU. Legal change may be required to prevent consumers from unintentionally supporting poor welfare sources of puppies. Full article

Objective: To systematically review the scientific literature on lysergic acid amide (LSA), focusing on its physical, neurobiological, and social effects, as well as its potential risks and therapeutic uses. Methods: A systematic review was conducted across PubMed, Google Scholar, and Web of Science up to December 2023, using keywords such as “ergine,” “lysergic acid amide,” and “legal high.” Studies were included if they reported original human data on the physical, neurobiological, psychological, or social effects of LSA; seventeen studies were included. Animal studies, in vitro research, and non-original articles were excluded. Two independent reviewers screened and selected the studies, with a third resolving discrepancies. Data were extracted using a standardized form. The review followed PRISMA guidelines and was prospectively registered on the Open Science Framework. Results: LSA is primarily consumed through preparations made from the seeds of Convolvulaceae plants. Reported effects include euphoria, hallucinations, nausea, and anxiety. Severe adverse outcomes, such as psychosis, hypertension, and hospitalization, have also been documented. Some evidence suggests its potential therapeutic application for cluster headaches. However, variability in dosing and misinformation on digital platforms heighten the risks associated with LSA use. Conclusions: LSA poses significant health risks, exacerbated by online misinformation and variability in its effects, and a lack of scientific studies. Further research is essential to clarify its pharmacological profile, establish guidelines for safe use, and raise public awareness about its dangers. Full article

Video surveillance systems have become pervasive in contemporary society, prompting growing concerns about their psychological and behavioral effects on individuals. This study investigates how perceived surveillance influences self-censorship and behavioral regulation in monitored environments, drawing on the conceptual framework of panoptic self-regulation and surveillance-induced anxiety. A structured questionnaire was administered to 358 university students, and data were analyzed using exploratory and confirmatory factor analysis to validate latent constructs, followed by ordinal logistic regression and mediation analysis to test key hypotheses. The results indicate that individuals who perceive higher psychological pressure due to surveillance are more likely to modify their behavior, exhibiting heightened self-awareness and restraint. Additionally, belief in the active monitoring of surveillance footage significantly amplifies behavioral vigilance. The perception of the technological omnipresence of surveillance further intensifies psychological discomfort, which mediates behavioral change. These findings conceptualize video surveillance as a socio-technical system that exerts behavioral influence through internalized psychological mechanisms. The study highlights the importance of considering the unintended consequences of surveillance technologies on autonomy and freedom, and it suggests that regulatory frameworks should account not only for legal compliance but also for the psychological impact of surveillance. The results provide empirical support for viewing surveillance systems as dynamic regulators of human behavior. Full article

In the context of wastewater treatment plant optimization, this study presents a novel approach based on a virtual sensor architecture designed to estimate total nitrogen levels in effluent and assess plant performance using an operational indicator. The core of the system is an intelligent agent that integrates real-time sensor data with machine learning models to infer nitrogen dynamics and anticipate deviations from optimal operating conditions. Central to this strategy is the operational nitrogen indicator (ONI), a weighted aggregation of four sub-indicators: legal compliance (Nactual%), the nitrogen dynamic trend (Tnitr%), removal efficiency (Enitr%), and microbial balance (NP%), each of which captures a critical dimension of the nitrogen removal process. The ONI enables the early detection of stress conditions and facilitates adaptive decision-making by quantifying operational status in terms of regulatory thresholds, biological requirements, and dynamic stability. This approach contributes to a shift toward smart wastewater treatment plants, where virtual sensing, autonomous control, and throttling-aware diagnostics converge to improve process efficiency, reduce operational risk, and promote environmental compliance. Full article

This study discusses the role of organizational pro-environmental behavior in driving sustainable development. Studies of green practices highlight their capacity to achieve ecological goals while delivering economic sustainability with business strategies for sustainable businesses and advancing environmental sustainability law. It also considers how the development of artificial intelligence, resource management, big data analysis, blockchain, and the Internet of Things enables companies to maximize supply efficiency and address evolving environmental regulations and sustainable decision-making. Through digital technology, businesses can facilitate supply chain transparency, adopt circular economy practices, and produce in an equitable and environmentally friendly manner. Additionally, intelligent business management practices, such as effective decision-making and sustainability reporting, enhance compliance with authorities while ensuring long-term profitability from a legal perspective. Integrating business innovation and digital technology within legal entities enhances economic efficiency, reduces operational costs, improves environmental sustainability, reduces paper usage, and lowers the carbon footprint, creating a double-benefit model of long-term resilience. The policymakers’ role in formulating policy structures that lead to green digital innovation is also to ensure that economic development worldwide is harmonized with environmental protection and international governance. Using example studies and empirical research raises awareness about best practices in technology-based sustainability initiatives across industries and nations, aligning with the United Nations Sustainable Development Goals. Full article

Mental health disorders, particularly depression and anxiety, have become increasingly prevalent among elite athletes, exacerbated by factors such as competitive pressure and the Coronavirus Disease 19 (COVID-19) pandemic. This study analyzes trends in the use of antidepressants, anxiolytics, and cannabinoids (delta-9-tetrahydrocannabinol (THC)/cannabidiol (CBD)) among Italian athletes from 2011 to the first half of 2023 (FH2023), referring to anti-doping reports published by the Italian Ministry of Health. Data from 13,079 athletes were examined, with a focus on non-prohibited medications, banned substances, and regulatory impacts, including threshold adjustments for THC since 2013 and the legalization of CBD. The results show fluctuating use of antidepressants/anxiolytics, with peaks in 2021 and the FH2023, coinciding with post-pandemic awareness. Positive THC cases rose following regulatory changes, reflecting socio-cultural trends. Gender disparities emerged, with THC use predominantly among males (e.g., nine males vs. one female in 2013), though female athletes were underrepresented in testing. This study highlights the need for personalized, evidence-based strategies that balance therapeutic efficacy and anti-doping compliance. Clinicians should carefully consider prescribing selective serotonin reuptake inhibitors (SSRIs) and benzodiazepines to address depression and anxiety and should monitor the risks of CBD contamination. Future research should adopt longitudinal, gender-sensitive approaches to refining guidelines and combating stigma in professional sports. Full article

Freshwater ecosystems face escalating degradation, demanding real-time, scalable, and biodiversity-aware monitoring solutions. This review proposes an integrated framework combining artificial intelligence (AI), geographic information systems (GISs), and environmental DNA (eDNA) to overcome these limitations and support next-generation river health assessment. The AI-GIS-eDNA system was applied to four representative river basins—the Mississippi, Amazon, Yangtze, and Danube—demonstrating enhanced predictive accuracy (up to 94%), spatial pollution mapping precision (85–95%), and species detection sensitivity (+18–30%) compared to conventional methods. Furthermore, the framework reduces operational costs by up to 40%, highlighting its potential for cost-effective deployment in low-resource regions. Despite its strengths, challenges persist in the areas of regulatory acceptance, data standardization, and digital infrastructure. We recommend legal recognition of AI and eDNA indicators, investment in explainable AI (XAI), and global data harmonization initiatives. The integrated AI-GIS-eDNA framework offers a scalable and policy-relevant tool for adaptive freshwater governance in the Anthropocene. Full article

This study investigates how demographic characteristics, severity of intimate partner violence (IPV), social support, gender equality awareness, and demographic factors (e.g., living with children at home) influence help-seeking behaviors among 2527 IPV-experienced women in Beijing, Shanghai, Guangzhou, and Shenzhen. Drawing on the help-seeking model and conservation of resource theory, the study distinguishes between formal (e.g., police, legal aid) and informal (e.g., family, friends) help-seeking. Logistic regression results reveal that greater violence severity, stronger perceived social support, and higher gender equality awareness significantly increase both formal and informal help-seeking. Notably, living with children is associated with a higher likelihood of seeking formal help, possibly due to increased concerns for children’s safety and the desire to change the abusive environment. While help-seeking behavior is on the rise overall, particularly among women with strong support networks and progressive gender attitudes, structural and cultural barriers remain. The findings underscore the need to improve public education, reduce stigma, and enhance accessibility of support systems. This study contributes to the growing literature on IPV in China and provides evidence for refining policy interventions and service delivery. Full article

Several plants produce toxic and hallucinogenic metabolites, posing risks when misused due to a lack of botanical knowledge. Improper or accidental use of these plants poses a public health risk and has been associated with forensic cases involving poisoning, suicide, or drug-facilitated crimes. This review identified eight species of forensic interest that grow in southern Chile and analyzed their active compounds, mechanisms of toxicity, and documented clinical and legal cases. These selected species included both native and introduced taxa, whose main toxic agents are tropane alkaloids (atropine, scopolamine), piperidine (coniine), taxane pseudoalkaloids, and natural opiates (morphine, codeine). Most reported cases involved unintentional poisoning, mainly in children, highlighting the lack of regulation and awareness. This review revealed the need for improved forensic and clinical documentation of plant-based intoxications in Chile and greater public education regarding the toxicological risks posed by these botanical species. Full article

Nature-Based Solutions (NBSs) offer promising pathways to enhance ecological resilience and address urban water challenges, particularly in heritage cities where conventional gray infrastructure often fails to balance environmental needs with cultural preservation. This study proposes a strategic framework for the integration of NBSs into historic urban landscapes by employing Internal–External (IE) matrix modeling and an impact–uncertainty assessment, grounded in a structured evaluation of key internal strengths and weaknesses, as well as external opportunities and threats. The Internal Factor Evaluation (IFE) score of 2.900 indicates a favorable internal environment, characterized by the multifunctionality of NBS and their ability to reconnect urban populations with nature. Meanwhile, the External Factor Evaluation (EFE) score of 2.797 highlights moderate support from policy and public awareness but identifies barriers such as funding shortages and interdisciplinary coordination. Based on these findings, two strategies are developed: an SO (Strength–Opportunity) strategy, promoting community-centered and policy-driven NBS design, and a WO (Weakness–Opportunity) strategy, targeting resource optimization through legal support and cross-sectoral collaboration. This study breaks new ground by transforming theoretical NBS concepts into actionable, culturally sensitive planning tools that enable decision-makers to navigate the unique challenges of implementing adaptive stormwater and environmental management in historically constrained urban environments. Full article

Cannabinoid hyperemesis syndrome (CHS) is characterized by a pattern of cyclic vomiting and abdominal pain despite an absence of an organic cause, occurring in regular cannabis users. This syndrome was first described in 2004. Initially considered rare, with the increased use and legalization of cannabis, a growing incidence of diagnoses has been observed. Data on the pediatric population are still scant despite the high rate of cannabis consumption in young people. In this narrative review, we aim to synthesize the growing knowledge about CHS and its epidemiology, pathophysiology, diagnosis, and management in the pediatric population. Findings in this review highlight the diagnostic challenges in pediatric patients, the limited efficacy of standard anti-emetic therapies, and the central role of cannabis cessation in treatment. This review underscores the need for increased awareness of CHS in pediatric practice to ensure timely diagnosis and avoid unnecessary investigations and interventions. Full article

The growing recognition of animal sentience has led to notable progress in European Union animal welfare legislation. However, a significant inconsistency remains: while mammals, birds, and cephalopods are legally protected as sentient beings, honeybees (Apis mellifera)—despite robust scientific evidence of their cognitive, emotional, and sensory complexity—are excluded from such protections. This manuscript examines, from an interdisciplinary perspective, the divergence between emerging evidence on invertebrate sentience and current EU legal frameworks. Honeybees and cephalopods serve as comparative case studies to assess inconsistencies in the criteria for legal recognition of sentience. Findings increasingly confirm that honeybees exhibit advanced cognitive functions, emotional states, and behavioral flexibility comparable to those of legally protected vertebrates. Their omission from welfare legislation lacks scientific justification and raises ethical and ecological concerns, especially given their central role in pollination and ecosystem stability. In general, we advocate for the inclusion of Apis mellifera in EU animal welfare policy. However, we are aware that there are also critical views on their introduction, which we address in a dedicated paragraph of the manuscript. For this reason, we advocate a gradual and evidence-based approach, guided by a permanent observatory, which could ensure that legislation evolves in parallel with scientific understanding, promoting ethical consistency, sustainable agriculture, and integrated health under the One Health framework. This approach would meet the concerns of consumers who consider well-being and respect for the environment as essential principles of breeding, and who carefully choose products from animals raised with systems that respect welfare, with indisputable economic advantages for the beekeeper. Full article

Artificial Intelligence (AI) is transforming smart healthcare by enhancing diagnostic precision, automating clinical workflows, and enabling personalized treatment strategies. This review explores the current landscape of AI in healthcare from two key perspectives: capability types (e.g., Narrow AI and AGI) and functional architectures (e.g., Limited Memory and Theory of Mind). Based on capabilities, most AI systems today are categorized as Narrow AI, performing specific tasks such as medical image analysis and risk prediction with high accuracy. More advanced forms like General Artificial Intelligence (AGI) and Superintelligent AI remain theoretical but hold transformative potential. From a functional standpoint, Limited Memory AI dominates clinical applications by learning from historical patient data to inform decision-making. Reactive systems are used in rule-based alerts, while Theory of Mind (ToM) and Self-Aware AI remain conceptual stages for future development. This dual perspective provides a comprehensive framework to assess the maturity, impact, and future direction of AI in healthcare. It also highlights the need for ethical design, transparency, and regulation as AI systems grow more complex and autonomous, by incorporating cross-domain AI insights. Moreover, we evaluate the viability of developing AGI in regionally specific legal and regulatory frameworks, using South Korea as a case study to emphasize the limitations imposed by infrastructural preparedness and medical data governance regulations. Full article

Electricity theft remains a persistent challenge, particularly in developing economies where infrastructure limitations and socioeconomic disparities contribute to illegal connections. This study analyzes the determinants influencing electricity theft in Kinshasa, the Democratic Republic of Congo, using a logistic regression model applied to 385 observations, which includes random bootstrapping sampling for enhanced stability and power analysis validation to confirm the adequacy of the sample size. The model achieved an AUC of 0.86, demonstrating strong discriminatory power, while the Hosmer–Lemeshow test (p = 0.471) confirmed its robust fit. Our findings indicate that electricity supply quality, financial stress, tampering awareness, and billing transparency are key predictors of theft likelihood. Households experiencing unreliable service and economic hardship showed higher theft probability, while those receiving regular invoices and alternative legal energy solutions exhibited lower risk. Lasso regression was implemented to refine predictor selection, ensuring model efficiency. Based on these insights, a multifaceted policy approach—including grid modernization, prepaid billing systems, awareness campaigns, and regulatory enforcement—is recommended to mitigate electricity theft and promote sustainable energy access in urban environments. Full article