Mental health disorders are a leading cause of disability worldwide, and there is a global shortage of mental health professionals. AI chatbots have emerged as a potential solution, offering accessible and scalable mental health interventions. This study aimed to conduct a scoping review to evaluate the effectiveness and feasibility of AI chatbots in treating mental health conditions. A literature search was conducted across multiple databases, including MEDLINE, Scopus, and PsycNet, as well as using AI-powered tools like Microsoft Copilot and Consensus. Relevant studies on AI chatbot interventions for mental health were selected based on predefined inclusion and exclusion criteria. Data extraction and quality assessment were performed independently by multiple reviewers. The search yielded 15 eligible studies covering various application areas, such as mental health support during COVID-19, interventions for specific conditions (e.g., depression, anxiety, substance use disorders), preventive care, health promotion, and usability assessments. AI chatbots demonstrated potential benefits in improving mental and emotional well-being, addressing specific mental health conditions, and facilitating behavior change. However, challenges related to usability, engagement, and integration with existing healthcare systems were identified. AI chatbots hold promise for mental health interventions, but widespread adoption hinges on improving usability, engagement, and integration with healthcare systems. Enhancing personalization and context-specific adaptation is key. Future research should focus on large-scale trials, optimal human–AI integration, and addressing ethical and social implications.

We explored the intricate interplay of biological, social, and psychological factors contributing to substance use disorder (SUD) and co-occurring psychiatric symptoms. Drug misuse is a global concern, with increasing prevalence rates affecting mental well-being and safety. The spectrum of SUD includes polysubstance users, posing challenges for treatment and associated health outcomes. Various psychoactive substances like cannabis, hallucinogens, opioids, and stimulants impact addiction vulnerability, with marijuana being widely used globally. Gender differences in SUD prevalence have narrowed, with women escalating drug consumption rapidly once initiated. Age disparities in substance use highlight regional variations among adolescents. Comorbidities with psychiatric symptoms are common, with mood and anxiety disorders frequently observed. This study aimed to analyze factors influencing SUD development and maintenance to inform prevention strategies and treatment recommendations. By conducting a systematic search of databases, sixty articles were reviewed, revealing diverse methodologies and geographic locations. Biological factors, including neurotransmitter systems like endocannabinoid and dopaminergic systems, play a significant role in addiction. Genetic and neurobiological factors contribute to cannabis addiction susceptibility. Social factors such as childhood experiences and parenting styles influence substance use behaviors. Psychological factors like personality traits and mental health conditions interact with SUD development. Understanding these multifaceted interactions is crucial for designing effective interventions to address the complexities of SUD and co-occurring psychiatric symptoms.

(1) Background: we aimed to investigate the effects of physical activity on cognitive functions and deficits of healthy population and other needy groups. Secondly, we investigated the relation between healthy habits and psychopathological risks. Finally, we investigated the impact of COVID-19 pandemic on exercise addiction and possible associated disorders. (2) Methods: From April 2021 to October 2021, we conducted a review aimed at identifying the effects of physical exercise on mental health, from cognitive improvements to risk of addiction; we searched for relevant studies on PubMed, Web of Science, EMBASE, PsycINFO and CINHAL. (3) Results: For the first purpose, results indicated multiple effects such as better precision and response speed in information processing tasks on healthy populations; improvement of executive functions, cognitive flexibility and school performance in children; improvement of attention and executive functions and less hyperactivity and impulsiveness on children with attention deficit hyperactivity disorder (ADHD); improvement of executive and global functions on adults; improvement of overall cognitive functioning on patients with schizophrenic spectrum disorder or bipolar disorder. Data also demonstrated that exercise addiction seems to be related to low levels of education, low self-esteem, eating disorders and body dysmorphisms. Eventually, it was found that people with lower traits and intolerance of uncertainty show a strong association between COVID-19 anxiety and compulsive exercise and eating disorder. (4) Conclusions: these findings underline on one side the beneficial effects of physical activity on cognitive function in healthy individuals in a preventive and curative key, while on the other side the importance of an adequate evaluation of psychological distress and personality characteristics associated with exercise addiction.

Night Eating Syndrome (NES) is a distinct eating disorder characterized by recurrent episodes of night eating, either through excessive food consumption after the evening meal or eating after awakening from sleep. Despite its recognition, there remains a dearth of research on NES, limiting our understanding of its etiology, prevalence, diagnosis, and treatment. This paper conducts a narrative review spanning a wide spectrum of studies focusing on the etiology, assessment, and clinical treatment strategies of NES. This review traces the historical evolution of NES definitions, distinguishes NES from obesity-related eating behaviors and other eating disorders, explores the psychological determinants of NES, and discusses existing therapeutic options. This review highlights the complex etiology of NES, influenced by circadian rhythms, hormonal changes, psychological distress, and personality traits. It emphasizes the need for reliable assessment tools and a holistic approach to treatment, considering the high comorbidity of NES with other psychiatric and medical conditions. Current treatment options, such as cognitive behavioral therapy and pharmacotherapy, show promise but require further research for refinement. NES remains underdiagnosed and undertreated, with challenges including unclear diagnostic criteria, comorbidities, and lack of evidence-based treatments. Future research should focus on developing reliable assessment tools, exploring etiology, comparing treatment approaches, and considering prevention strategies, utilizing diverse and representative samples to advance our understanding and improve clinical care.

(1) Background: we investigated and analyzed the most recent implementations of technology in the fields of psychotherapy, clinical rehabilitation, and addiction treatment. (2) Methods: from December 2021 to January 2022, we conducted a review aimed at identifying the recent implementations of technology in cyber health psychology, with particular reference to Virtual Reality in psychotherapy, mHealth tools in clinical rehabilitation, and smartphone applications in the treatment of addiction to substances of abuse, searching for relevant studies in the databases PubMed, Web of Science, Google Scholar, Health & Medical Collection, and APA PsycArticles. (3) Results: the tools analyzed are in constant development and are increasingly used, with good results, and further technological progress could lead to even better treatment outcomes; as far as mHealth tools and smartphone applications are concerned, anti-smoking Apps are the most widespread, followed by those for the treatment of alcohol use disorder, and there is no presence of Apps for the treatment of heroin, cocaine, or crack addiction. (4) Conclusions: the results of the review indicate that these technological tools are increasingly used and are, in principle, effective and have numerous advantages, including low cost and versatility.