Current Opinion in Psychiatry最新文献_第2页

Emerging insights into the physical health burden of personality disorders. 对人格障碍的身体健康负担的新见解。

IF 5.9 2区医学

Current Opinion in Psychiatry Pub Date : 2026-09-01 Epub Date: 2026-07-30 DOI: 10.1097/YCO.0000000000001110

Ivona Šimunović Filipčić, Igor Filipčić, Ivana Jurčić Čulina, Darko Marčinko, Nenad Jakšić

{"title":"Emerging insights into the physical health burden of personality disorders.","authors":"Ivona Šimunović Filipčić, Igor Filipčić, Ivana Jurčić Čulina, Darko Marčinko, Nenad Jakšić","doi":"10.1097/YCO.0000000000001110","DOIUrl":"https://doi.org/10.1097/YCO.0000000000001110","url":null,"abstract":"Purpose of review: This review summarizes recent evidence on the physical health burden associated with personality disorders (PDs), focusing on physical comorbidity and multimorbidity, physical symptoms, and premature mortality.Recent findings: Accumulating evidence indicates that individuals with PDs experience markedly elevated rates of chronic physical illness, multimorbidity, and premature mortality. Large-scale cohort studies demonstrate increased risks of cardiovascular disease, myocardial infarction, stroke, and all-cause mortality emerging early in life. Recent investigations further show that nearly half of individuals with PDs meet criteria for chronic physical multimorbidity. Borderline personality disorder (BPD) appears especially associated with broad somatic burden, including pain-related conditions, accompanied by substantially reduced life expectancy. Dimensional approaches additionally suggest that PD severity and maladaptive domains, particularly Negative Affectivity, are independently linked to greater somatic burden. Current evidence supports multifactorial mechanisms involving maladaptive health behaviors, chronic stress-system dysregulation, systemic inflammation, metabolic changes, and healthcare disparities.Summary: PDs are associated with a substantial yet underrecognized physical health burden. Converging evidence supports a systemic model in which personality pathology contributes to increased somatic (multi)morbidity and premature mortality through interacting behavioral, biological, developmental, and healthcare-related mechanisms. Integrating physical and mental healthcare may help reduce excess morbidity and mortality in this population.","PeriodicalId":11022,"journal":{"name":"Current Opinion in Psychiatry","volume":"39 5","pages":"357-363"},"PeriodicalIF":5.9,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148817805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A review of contemporary research on eating disorders in the Ukrainian context. 在乌克兰背景下对饮食失调的当代研究综述。

IF 5.9 2区医学

Current Opinion in Psychiatry Pub Date : 2026-07-23 DOI: 10.1097/YCO.0000000000001111

Maryna Fatieieva, Olha Lazarenko

引用次数: 0

Risk and protective factors in addictive behaviors: Integrating artificial intelligence and traditional analytical methods to assess social and psychological determinants. 成瘾行为的风险和保护因素：整合人工智能和传统分析方法来评估社会和心理决定因素。

IF 5.9 2区医学

Current Opinion in Psychiatry Pub Date : 2026-07-01 Epub Date: 2026-04-30 DOI: 10.1097/YCO.0000000000001091

Germano Vera Cruz, Clarice Da Rosa, Yasser Khazaal

{"title":"Risk and protective factors in addictive behaviors: Integrating artificial intelligence and traditional analytical methods to assess social and psychological determinants.","authors":"Germano Vera Cruz, Clarice Da Rosa, Yasser Khazaal","doi":"10.1097/YCO.0000000000001091","DOIUrl":"10.1097/YCO.0000000000001091","url":null,"abstract":"Purpose of review: Addictive behaviors, including both substance use disorders and behavioral addictions, arise from complex interactions among biological, psychological, social, and environmental factors including digital ones. This review focuses on the assessment of social and psychological risk and protective factors, highlighting how artificial intelligence and machine learning approaches complement conventional qualitative and quantitative methodologies. The aim is to clarify how these tools can enhance understanding, prediction, and prevention of addictive behaviors.Recent findings: Recent research identifies impulsivity, emotion dysregulation, peer norms, and family functioning as central psychosocial risk factors for addictive behaviors. Protective factors - such as self-efficacy, social support, and family cohesion - moderate these risks. Conventional analyses provide foundational evidence, while ML methods (predictive machine learning, explainable artificial intelligence, reinforcement learning) now enable integration of multimodal data, detection of nonlinear patterns, and identification of latent psychosocial profiles. Emerging studies demonstrate potential for early-warning prediction and personalized intervention design.Summary: AI/ML offers unprecedented opportunities to advance addiction science by handling high-dimensional psychosocial and behavioral data. Yet, ethical, interpretative, and causal challenges persist. The most promising path forward lies in synergizing theory-driven analytics with data-driven AI approaches to achieve more precise and contextually grounded prevention and intervention strategies for addictive behaviors.","PeriodicalId":11022,"journal":{"name":"Current Opinion in Psychiatry","volume":" ","pages":"294-307"},"PeriodicalIF":5.9,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147765095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Contextualizing innovation in addiction psychiatry: opportunities to deliver precision medicine in a complex clinical system. 成瘾精神病学的情境化创新：在复杂的临床系统中提供精准医疗的机会。

IF 5.9 2区医学

Current Opinion in Psychiatry Pub Date : 2026-07-01 Epub Date: 2026-05-07 DOI: 10.1097/YCO.0000000000001095

Alexander Mario Baldacchino, Joe Schofield, Malgorzata Gosia M Mitka

{"title":"Contextualizing innovation in addiction psychiatry: opportunities to deliver precision medicine in a complex clinical system.","authors":"Alexander Mario Baldacchino, Joe Schofield, Malgorzata Gosia M Mitka","doi":"10.1097/YCO.0000000000001095","DOIUrl":"10.1097/YCO.0000000000001095","url":null,"abstract":"Purpose of review: Current approaches to preventing drug-related harms remain suboptimal. This review describes components of a systems innovation framework for addiction care designed to address escalating drug-related harms and fragmented service delivery through a multidisciplinary, ecosystem-driven approach.Recent findings: Innovative approaches to addiction medicine are needed that integrate clinical research with entrepreneurial execution to address three priority areas of need: real-time risk mitigation using digital phenotyping and wearable biosensors for overdose detection; precision surveillance utilizing AI-informed data ecosystems and wastewater analysis; and next-generation therapeutics, including neuromodulation and nanotechnology-driven drug delivery. This creates an innovative \"biopsychotechnological\" treatment paradigm that moves beyond traditional clinical boundaries.Summary: This framework provides a roadmap for transitioning addiction care from reactive clinical and risk management to innovative and proactive precision medicine. For research, it necessitates a shift toward interdisciplinary validation of \"biopsychotechnological\" models that bridge bench science and community implementation. For clinical practice, this framework offers a blueprint for integrating real-time biosensing and advanced therapeutics into patient care, promising to reduce mortality and support sustainable recovery through ecosystem-informed and individualized care.","PeriodicalId":11022,"journal":{"name":"Current Opinion in Psychiatry","volume":" ","pages":"321-325"},"PeriodicalIF":5.9,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147971211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integrating human and nonhuman intelligence to reduce tobacco's public-health burden. 整合人类和非人类智慧，减少烟草的公共卫生负担。

IF 5.9 2区医学

Current Opinion in Psychiatry Pub Date : 2026-07-01 Epub Date: 2026-05-03 DOI: 10.1097/YCO.0000000000001096

Catalina Lopez-Quintero

{"title":"Integrating human and nonhuman intelligence to reduce tobacco's public-health burden.","authors":"Catalina Lopez-Quintero","doi":"10.1097/YCO.0000000000001096","DOIUrl":"10.1097/YCO.0000000000001096","url":null,"abstract":"Purpose of review: Tobacco use remains the leading preventable cause of death worldwide, while the rise of electronic nicotine products has sparked a new wave of initiation. The urgent need for scalable, multilevel tobacco-control interventions converges with the rapid advances in artificial intelligence (AI). This article reviews the most recent literature on integrating machine- and human expertise to enhance tobacco-cessation strategies within a multilevel framework.Recent findings: Recent advances in predictive analytics, large-language models (LLM), AI chatbots, and related tools create a framework to strengthen tobacco prevention. Predictive analytics merge electronic health records, behavioral surveys, genetics, and real-time sensor data to model the complex multilevel factors that influence quitting. LLMs instantly uncover informative features, revealing novel predictors that shape targeted interventions. AI-driven conversational agents deliver stage-specific counseling and medication guidance, with preliminary trials showing improved engagement and quit rates. Reinforcement learning personalizes messaging, rewards, and medication schedules to optimize outcomes, while natural-language processing of social media provides fine-grained sentiment data to assess policy impact.Summary: Realizing AI's potential to reduce tobacco's public-health burden requires interdisciplinary collaboration, equity-oriented design, external validation, and strong governance. These safeguards can enable scalable, adaptable, and culturally relevant smoking-cessation interventions and facilitate timely, effective tobacco-control policies.","PeriodicalId":11022,"journal":{"name":"Current Opinion in Psychiatry","volume":" ","pages":"314-320"},"PeriodicalIF":5.9,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147971300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Surveillance of emerging drug trends: utilizing the National Drug Early Warning System. 监测新出现的毒品趋势：利用国家毒品早期预警系统。

IF 5.9 2区医学

Current Opinion in Psychiatry Pub Date : 2026-07-01 Epub Date: 2026-03-24 DOI: 10.1097/YCO.0000000000001087

Linda B Cottler, Joseph J Palamar

{"title":"Surveillance of emerging drug trends: utilizing the National Drug Early Warning System.","authors":"Linda B Cottler, Joseph J Palamar","doi":"10.1097/YCO.0000000000001087","DOIUrl":"10.1097/YCO.0000000000001087","url":null,"abstract":"Purpose of review: The U.S. drug landscape is rapidly shifting necessitating early warning surveillance of emerging drug threats. We describe one such surveillance effort from the United States: the National Drug Early Warning System (NDEWS).Recent findings: NDEWS monitors drug indicators with a particular focus on trends in new psychoactive substances (NPS) and emerging adulterants. NDEWS has five major goals: develop a collaboration network, including people with lived experience, initiate methods that deliver the freshest data on drug trends, integrate data from sources to better understand signals, disseminate findings widely, and train the next generation of surveillance scientists. NDEWS collects primary data using venue-based methods (Rapid Street Reporting), Web Monitoring, and 911 (Emergency Medical Service) data, and utilizes secondary data on drug seizures and poisonings. Information is shared bidirectionally with our 16 Sentinel Sites, our Community-Based Health Expert network, and our informal networks which include medical examiners, toxicologists, funeral directors, reporters, and community overdose response workers.Summary: Surveillance of emerging drug trends is increasingly important around the world as patterns of drug use continue to shift. With a focus on NPS and nonlagged data strategies, NDEWS warns communities at risk to prevent serious consequences and death.","PeriodicalId":11022,"journal":{"name":"Current Opinion in Psychiatry","volume":" ","pages":"287-293"},"PeriodicalIF":5.9,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13025665/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147510231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Opportunities and risks of large language models in digital interventions for substance use disorders. 大型语言模型在物质使用障碍数字干预中的机遇和风险。

IF 5.9 2区医学

Current Opinion in Psychiatry Pub Date : 2026-07-01 Epub Date: 2026-04-29 DOI: 10.1097/YCO.0000000000001088

Marissa de Vries, Michael P Schaub

{"title":"Opportunities and risks of large language models in digital interventions for substance use disorders.","authors":"Marissa de Vries, Michael P Schaub","doi":"10.1097/YCO.0000000000001088","DOIUrl":"10.1097/YCO.0000000000001088","url":null,"abstract":"Purpose of review: Large language models (LLMs) are increasingly integrated into digital mental health tools, yet their role in substance use disorder (SUD) interventions remains poorly understood. This review synthesizes emerging evidence on the opportunities and risks of applying LLMs across the digital SUD care continuum.Recent findings: Studies report promising applications in early detection, personalized support, continuous monitoring, and relapse prevention. LLMs demonstrate capacity to extract substance-use signals from natural language, generate supportive and motivational responses, and interpret narrative data for patient-reported outcomes. However, risks are substantial. LLMs can produce inaccurate or hallucinated content, may reinforce stigma or demographic bias, and can generate misleading or potentially unsafe advice. Privacy concerns are amplified in SUD contexts, where sensitive data are often managed outside regulated healthcare systems. Existing regulatory frameworks such as the EU AI Act or U.S. device regulations, do not yet provide clear governance for anonymous, AI-supported SUD interventions.Summary: LLMs have potential to expand scalable, low-threshold support for SUDs, but their safe deployment requires validation, bias mitigation, transparent data governance, and robust human oversight. Evidence remains preliminary, and clinical integration should proceed cautiously.","PeriodicalId":11022,"journal":{"name":"Current Opinion in Psychiatry","volume":" ","pages":"308-313"},"PeriodicalIF":5.9,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13236030/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147834846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The myth of digital biomarkers in Alzheimer's disease: how to make them a reality. 阿尔茨海默病中数字生物标志物的神话：如何使它们成为现实。

IF 5.9 2区医学

Current Opinion in Psychiatry Pub Date : 2026-07-01 Epub Date: 2026-04-29 DOI: 10.1097/YCO.0000000000001089

Rhoda Au, Katherine A Gifford, Ioannis Ch Paschalidis, Paul Wighton, Max Levin, Farhad Imam, Niranjan Bose, Abhi Pratap

{"title":"The myth of digital biomarkers in Alzheimer's disease: how to make them a reality.","authors":"Rhoda Au, Katherine A Gifford, Ioannis Ch Paschalidis, Paul Wighton, Max Levin, Farhad Imam, Niranjan Bose, Abhi Pratap","doi":"10.1097/YCO.0000000000001089","DOIUrl":"10.1097/YCO.0000000000001089","url":null,"abstract":"Purpose of review: With an estimated 41.1B digital devices, the term \"digital biomarkers\" has been increasingly bandied about in the research literature. There is, however, a significant disconnect between the presumption of digital biomarkers and the reality of digital biomarkers.Recent findings: The research literature embraces the concept of digital biomarkers without concomitant evidence for validation of digital measures as biomarkers. Unlike imaging or blood-based biomarkers, there is a woeful lack of research dedicated to validating digital measures as biomarkers. This gap also presents an opportunity. Regulatory agencies worldwide have long-standing protocols used by pharmaceutical and biotech companies to stand up quality management systems (QMS) that track research from inception to regulatory approved submissions. The recent United States (US) Food and Drug Administration (FDA) approval of Alzheimer's disease (AD) plasma biomarkers is another example where successful QMS implementation provided the processes and transparency necessary to obtain approval. Regulatory guidelines for digital technology validation are more circumspect on validation pathways of AD digital biomarkers, but FDA provides a framework for building a QMS that could potentially do so.Summary: Building an open source QMS for AD digital biomarker validation will be a critical breakthrough for harnessing the potential of digital technologies for detection, monitoring and treatment of AD and related disorders.","PeriodicalId":11022,"journal":{"name":"Current Opinion in Psychiatry","volume":" ","pages":"331-338"},"PeriodicalIF":5.9,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13236039/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147834808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Linking urban planning and mental health in the context of urbanization: existing evidence and future directions. 城市化背景下城市规划与心理健康的联系：现有证据和未来方向。

IF 5.9 2区医学

Current Opinion in Psychiatry Pub Date : 2026-07-01 Epub Date: 2026-05-04 DOI: 10.1097/YCO.0000000000001093

Jian Song, Rong Song, Xiaoyu Jin, Rubing Pan, Weizhuo Yi, Hong Su

{"title":"Linking urban planning and mental health in the context of urbanization: existing evidence and future directions.","authors":"Jian Song, Rong Song, Xiaoyu Jin, Rubing Pan, Weizhuo Yi, Hong Su","doi":"10.1097/YCO.0000000000001093","DOIUrl":"10.1097/YCO.0000000000001093","url":null,"abstract":"Purpose of review: Amidst rapid global urbanization, understanding the association between urban planning and mental health is crucial. This review synthesizes fragmented evidence on six core elements - walkability, green spaces, blue spaces, population density, public transport accessibility, and road design-to address gaps in causality and equity, providing timely insights for creating psychologically supportive urban environments.Recent findings: Evidence consistently indicates a moderate protective association between urban green space and mental health. Findings for walkability and population density are highly heterogeneous, often moderated by socioeconomic factors and air pollution. Research on blue spaces and road design remains limited, highlighting significant variability and context-dependence across planning elements.Summary: Methodological challenges, such as establishing causality, simplistic exposure metrics, and inadequate consideration of equity-constrain current evidence. Future research should prioritize longitudinal and natural experiment designs, dynamic multiexposure assessments, and explicit equity integration to generate actionable guidance for urban planning that supports mental well being equitably.","PeriodicalId":11022,"journal":{"name":"Current Opinion in Psychiatry","volume":" ","pages":"347-356"},"PeriodicalIF":5.9,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147971314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Mental health in Russia: recent trends in urban settings. 俄罗斯的心理健康：城市环境中的最新趋势。

IF 5.9 2区医学

Current Opinion in Psychiatry Pub Date : 2026-07-01 Epub Date: 2026-05-15 DOI: 10.1097/YCO.0000000000001094

Anastasia Peshkovskaya, Yulia Chaika

{"title":"Mental health in Russia: recent trends in urban settings.","authors":"Anastasia Peshkovskaya, Yulia Chaika","doi":"10.1097/YCO.0000000000001094","DOIUrl":"10.1097/YCO.0000000000001094","url":null,"abstract":"Purpose of review: With this article, we aimed to outline the most recent data, official statistics, and research findings significant to understand current mental health trends in Russia. Furthermore, we, to the best of our knowledge, for the first time since the publication 'wave' of the pandemic-related articles, address mental health in Russia with particular focus on urbanicity.Recent findings: Major issues of mental health of the youth and the elderly in Russian cities, suicide and its growing rates in certain populations, maternal mental health, and medical personnel mental health were covered in this article. Beyond prevalence, access to care, and changes attributable to urbanization, we briefly discuss how electronic media became an emerging source of data for Russian researchers who investigated mental health in megacities, and address insights on associations between distance of migration track and risk of mental health conditions.Summary: Reported overview of findings can inform future research, policies, and mental health interventions tailored to the complexities of urban populations in Russia, and globally.","PeriodicalId":11022,"journal":{"name":"Current Opinion in Psychiatry","volume":" ","pages":"339-346"},"PeriodicalIF":5.9,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147971351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0