{"title":"Future mental health and a changing workforce","authors":"","doi":"10.1038/s44220-026-00745-y","DOIUrl":"10.1038/s44220-026-00745-y","url":null,"abstract":"As mental health needs outpace the supply of psychiatrists, the future of care will depend on expanding and reimagining the workforce beyond traditional physician-centered models. From telehealth and psychiatric pharmacists to interventional psychiatry and community-based interventions, emerging approaches point toward more collaborative, accessible and equitable systems of mental healthcare.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"4 10","pages":"1465-1466"},"PeriodicalIF":9.3,"publicationDate":"2026-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.comhttps://www.nature.com/articles/s44220-026-00745-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149100812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Divyangana Rakesh, Dimitris I. Tsomokos, Teresa Vargas, Kate E. Pickett, Vikram Patel
{"title":"Author Correction: Macroeconomic income inequality, brain structure and function, and mental health","authors":"Divyangana Rakesh, Dimitris I. Tsomokos, Teresa Vargas, Kate E. Pickett, Vikram Patel","doi":"10.1038/s44220-026-00746-x","DOIUrl":"10.1038/s44220-026-00746-x","url":null,"abstract":"","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"4 10","pages":"1604-1604"},"PeriodicalIF":9.3,"publicationDate":"2026-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.comhttps://www.nature.com/articles/s44220-026-00746-x.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149100808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Local–global breakdown of cortical similarity networks in anorexia nervosa","authors":"Massimiliano Facca, Valentina Meregalli, Sofia Gentili, Alessandra Bertoldo, Renzo Manara, Angela Favaro, Enrico Collantoni","doi":"10.1038/s44220-026-00730-5","DOIUrl":"10.1038/s44220-026-00730-5","url":null,"abstract":"Anorexia nervosa profoundly alters brain structure, yet the large-scale organization of the cortex under severe nutritional stress remains poorly understood. Here we map cortical architecture in 50 patients with anorexia nervosa and 40 healthy controls in this cross-sectional study using Morphometric Inverse Divergence (MIND), a multivariate framework integrating multiple morphometric features into cortical similarity networks. Patients showed a global reduction in morphometric similarity that scaled with nutritional status, with lower body mass index associated with weaker global and network-level connectivity. Disruptions were most prominent in higher-order transmodal networks, with comparatively limited alterations in sensorimotor and visual territories. Region-level effects followed the topology of the structural connectome, and network-based statistics revealed weakened long-range coupling between attentional and limbic–prefrontal circuits. Spatial correspondence with cortical gradients of serotonergic, dopaminergic, μ-opioid and CB1 receptor densities suggests that malnutrition compromises cortical integrity along neurochemically defined axes of vulnerability. This research investigates cortical architecture in patients with anorexia nervosa using Morphometric Inverse Divergence (MIND). Findings reveal reduced morphometric similarity correlating with nutritional status, highlighting disrupted connectivity in higher-order networks and associations with neurochemical receptor densities.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"4 10","pages":"1583-1591"},"PeriodicalIF":9.3,"publicationDate":"2026-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.comhttps://www.nature.com/articles/s44220-026-00730-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149100810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Vedhalakshmi Rajasankar, Chloe Alicia Chen, Taekmin Kenneth Kang, Jessie Melina Garcia Gutiérrez, Nikole Giovannone, Miguel Medrano, Arjee Javellana Restar, Don Operario, Arryn A. Guy, Shufang Sun
{"title":"Improving mental health and health behaviors among transgender and non-binary populations: a systematic review and meta-analysis","authors":"Vedhalakshmi Rajasankar, Chloe Alicia Chen, Taekmin Kenneth Kang, Jessie Melina Garcia Gutiérrez, Nikole Giovannone, Miguel Medrano, Arjee Javellana Restar, Don Operario, Arryn A. Guy, Shufang Sun","doi":"10.1038/s44220-026-00713-6","DOIUrl":"10.1038/s44220-026-00713-6","url":null,"abstract":"Given that transgender and non-binary populations face disproportionately adverse mental health and health behavior outcomes, a comprehensive synthesis of the growing body of interventions in this domain is required. Here we conducted a systematic review (k = 68; n = 17,023) and meta-analysis (k = 20; n = 5,315) to characterize existing mental health and health behavior interventions and evaluate their efficacy among transgender and non-binary populations. Most studies focused on transgender women (k = 30, 44.12%) and human immunodeficiency virus/sexually transmitted infection prevention or care (k = 42, 61.76%). Overall, interventions had a small, significant effect size at post-intervention compared with active controls in randomized controlled trials (k = 9, Hedges’ g = 0.21, 95% confidence interval 0.06–0.35, P = 0.005), with briefer interventions yielding greater efficacy (P = 0.015). Subgroup analysis found that empowerment and skills-based interventions had a significant positive effect at post-intervention (k = 6, g = 0.19, 95% confidence interval 0.024–0.36, P = 0.024). Future research should address gaps with transgender men, non-binary individuals and youth and expand beyond human immunodeficiency virus/sexually transmitted infection prevention toward mental health, sexual wellness and quality of life outcomes. The authors conducted a systematic review and meta-analysis to assess the efficacy of behavioral health interventions in improving outcomes among transgender and gender-nonconforming individuals.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"4 9","pages":"1439-1451"},"PeriodicalIF":9.3,"publicationDate":"2026-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148910058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Oyomoare L. Osazuwa-Peters, Jasmine Wilkerson, Anjali Gupta, Lauren E. Wilson, Nancy Krieger, Tyson Brown, Tomi Akinyemiju
{"title":"Association of cultural racism with mental health outcomes among US adults during 2018–2021","authors":"Oyomoare L. Osazuwa-Peters, Jasmine Wilkerson, Anjali Gupta, Lauren E. Wilson, Nancy Krieger, Tyson Brown, Tomi Akinyemiju","doi":"10.1038/s44220-026-00728-z","DOIUrl":"10.1038/s44220-026-00728-z","url":null,"abstract":"Cultural racism, the ideologies, values and systems that enable racial oppression, remains underexplored in relation to mental health. Using the Behavioral Risk Factor Surveillance System dataset between 2018 and 2021, we linked an empirical cultural racism factor derived from seven state-level indicators to mental health among 1,292,787 US adults (weighted 52.2% women); overall, 19.5% reported a history of depression, and respondents averaged 4.3 poor mental health days monthly. Here we show that each one unit (s.d.) increase in cultural racism factor was associated with higher risk for depression (3% overall; up to 25% among Native Hawaiian/Pacific Islanders) and poor mental health days (3% overall; up to 14% among Hispanics). Associations were strongest among racial minorities and adults under 65 years and did not differ significantly by sex. These findings suggest that cultural racism may contribute to psychological distress, underscoring the need for further research and policy action. In this study, the authors analyze data from 1,292,787 US adults, revealing that increased cultural racism factors correlate with heightened depression risk and poor mental health days, particularly among racial minorities, highlighting the urgent need for targeted interventions.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"4 10","pages":"1572-1582"},"PeriodicalIF":9.3,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149100862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ashley D. Kendall, Noah Robinson, Robin J. Mermelstein, Steven D. Hollon
{"title":"Failure to outperform treatment controls does not imply treatment failure for mental health apps","authors":"Ashley D. Kendall, Noah Robinson, Robin J. Mermelstein, Steven D. Hollon","doi":"10.1038/s44220-026-00715-4","DOIUrl":"10.1038/s44220-026-00715-4","url":null,"abstract":"Mental health apps frequently fail to outperform treatment controls — a predictable outcome based on decades of broader research that does not necessarily signal the apps are ineffective. Yet such controls remain the gold standard for establishing app effectiveness. This Comment argues that treatment controls often obscure the picture of whether apps work and calls for prioritization of alternative designs.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"4 10","pages":"1486-1488"},"PeriodicalIF":9.3,"publicationDate":"2026-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149100817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Till J. Adam, Mikkel Højlund, Toby Pillinger, Robert A. McCutcheon, Dan Siskind, Melissa P. DelBello, Jeffrey A. Welge, Heidi Taipale, Jari Tiihonen, Wing Chung Chang, Roger S. McIntyre, Rene E. Nielsen, Anders Fink-Jensen, Marco Solmi, Christoph U. Correll
{"title":"Body composition-mediated and drug-related metabolic dysregulation during long-term antipsychotic treatment in youth","authors":"Till J. Adam, Mikkel Højlund, Toby Pillinger, Robert A. McCutcheon, Dan Siskind, Melissa P. DelBello, Jeffrey A. Welge, Heidi Taipale, Jari Tiihonen, Wing Chung Chang, Roger S. McIntyre, Rene E. Nielsen, Anders Fink-Jensen, Marco Solmi, Christoph U. Correll","doi":"10.1038/s44220-026-00721-6","DOIUrl":"10.1038/s44220-026-00721-6","url":null,"abstract":"Second-generation antipsychotics (SGAs) are widely used in youths with severe mental illness but are frequently associated with cardiometabolic adverse effects. It remains unclear how much metabolic dysregulation results from body composition (BC) changes versus direct SGA effects. We followed 510 mostly antipsychotic-naive youths (male sex 55.7%, age of 4–17 years) initiating/reinitiating/switching to SGAs, with plasma concentration-verified adherence. BC and glucose/lipid metabolism changes were repeatedly assessed over 12 months. Metabolic changes were (1) controlled for and (2) correlated with body weight and fat mass, distinguishing BC-independent and BC-dependent metabolic dysregulation. BC-independent increases in total cholesterol, fasting glucose and triglycerides occurred especially with olanzapine and partially with risperidone but less with quetiapine and aripiprazole. Conversely, insulin resistance increased most in association with BC. SGAs dysregulate metabolism through distinct BC-independent and BC-dependent pathways, previously unexplored in large, well-characterized clinical samples. These findings highlight a need for cardiometabolic monitoring beyond weight in SGA-treated youths and for safer treatment alternatives. This study investigates cardiometabolic effects of second-generation antipsychotics in youth, distinguishing body composition-related changes from direct drug impacts. Findings reveal distinct metabolic dysregulation pathways, emphasizing the necessity for comprehensive monitoring and safer treatment options in clinical practice.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"4 10","pages":"1548-1559"},"PeriodicalIF":9.3,"publicationDate":"2026-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149100820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
John L. Havlik, Michael J. Murphy, Taeho Greg Rhee, Keith Humphreys, Robert A. Rosenheck
{"title":"Supervised machine learning enables identification of people with untreated substance use disorders using EHR-like data","authors":"John L. Havlik, Michael J. Murphy, Taeho Greg Rhee, Keith Humphreys, Robert A. Rosenheck","doi":"10.1038/s44220-026-00717-2","DOIUrl":"10.1038/s44220-026-00717-2","url":null,"abstract":"Substance use disorders (SUDs) remain widely undetected in healthcare settings, in part because comprehensive screening is hard to fit into brief clinical encounters. Machine learning offers a way to flag untreated SUDs from routinely collected data. Here we show that supervised machine learning models trained on electronic health record-like data from a nationally representative US survey can readily identify people with untreated alcohol use disorder, and exploratory models for rarer opioid and cocaine use disorders showed promise but were limited by small samples. Optimized for precision and recall, these models reduce the number of people who must be screened to find one untreated case relative to universal screening, in several cases by more than an order of magnitude, while remaining interpretable to show which features drive each prediction. Integrated into healthcare systems, such decision-support tools could improve early detection and treatment and reduce the substantial costs of untreated SUDs. In this study, the authors demonstrate that supervised machine learning models trained on electronic health record-like data can effectively identify untreated alcohol use disorder, potentially transforming early detection and treatment in healthcare systems.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"4 10","pages":"1511-1523"},"PeriodicalIF":9.3,"publicationDate":"2026-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149100819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
William M. Sauvé, Thomas R. Insel, Brittany B. Albright, Martha Koo, Robert M. Berman, Stephen Stahl, Husseini K. Manji, Roger S. McIntyre, Jimmy J. Qian
{"title":"Defining interventional psychiatry: a framework for professional identity and practice evolution","authors":"William M. Sauvé, Thomas R. Insel, Brittany B. Albright, Martha Koo, Robert M. Berman, Stephen Stahl, Husseini K. Manji, Roger S. McIntyre, Jimmy J. Qian","doi":"10.1038/s44220-026-00708-3","DOIUrl":"10.1038/s44220-026-00708-3","url":null,"abstract":"Psychiatry in the USA is at a crossroads: economic pressures have narrowed practice away from psychotherapy toward medication management while rapid growth in procedural treatments is reshaping the field. In this Comment, we argue that this shift requires a new identity, proposing interventional psychiatry that integrates psychiatric judgment with procedural care.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"4 10","pages":"1472-1479"},"PeriodicalIF":9.3,"publicationDate":"2026-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149100815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Semantic structure and measurement in large language models for psychopathology and psychometrics","authors":"Andrea Raballo, Michele Poletti, Antonio Preti","doi":"10.1038/s44220-026-00712-7","DOIUrl":"10.1038/s44220-026-00712-7","url":null,"abstract":"","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"4 10","pages":"1467-1468"},"PeriodicalIF":9.3,"publicationDate":"2026-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149100813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}