{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,5]],"date-time":"2026-11-05T01:22:40Z","timestamp":1793841760039,"version":"4.6.1"},"reference-count":24,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T00:00:00Z","timestamp":1778112000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000057","name":"NIGMS","doi-asserted-by":"publisher","award":["1P20GM121312"],"award-info":[{"award-number":["1P20GM121312"]}],"id":[{"id":"10.13039\/100000057","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000026","name":"National Institute on Drug Abuse","doi-asserted-by":"publisher","award":["U01DA050989"],"award-info":[{"award-number":["U01DA050989"]}],"id":[{"id":"10.13039\/100000026","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","jmoodanxdisorders.org","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Mood &amp; Anxiety Disorders"],"published-print":{"date-parts":[[2026,6]]},"DOI":"10.1016\/j.xjmad.2026.100181","type":"journal-article","created":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T01:20:36Z","timestamp":1778894436000},"page":"100181","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":4,"special_numbering":"C","title":["Current themes of AI in mental health: Actionable evidence and guardrails for mood and anxiety care"],"prefix":"10.1016","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0825-3606","authenticated-orcid":false,"given":"Martin P.","family":"Paulus","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"11","key":"10.1016\/j.xjmad.2026.100181_bib1","doi-asserted-by":"crossref","DOI":"10.1001\/jamanetworkopen.2025.42281","article-title":"Use of generative AI for mental health advice among US adolescents and young adults","volume":"8","author":"McBain","year":"2025","journal-title":"JAMA Netw Open"},{"key":"10.1016\/j.xjmad.2026.100181_bib2","doi-asserted-by":"crossref","DOI":"10.3389\/fpsyt.2024.1505024","article-title":"Artificial intelligence conversational agents in mental health: patients see potential, but prefer humans in the loop","volume":"15","author":"Lee","year":"2025","journal-title":"Front Psychiatry"},{"key":"10.1016\/j.xjmad.2026.100181_bib3","series-title":"Ethical guidance for AI in the professional practice of health service psychology","author":"American Psychological Association","year":"2025"},{"key":"10.1016\/j.xjmad.2026.100181_bib4","series-title":"Health advisory on the use of generative AI chatbots and wellness apps for mental health","author":"American Psychological Association","year":"2025"},{"key":"10.1016\/j.xjmad.2026.100181_bib5","series-title":"Ethics and governance of artificial intelligence for health: guidance on large multi-modal models","author":"World Health Organization","year":"2025"},{"key":"10.1016\/j.xjmad.2026.100181_bib6","series-title":"Artificial intelligence-enabled device software functions: lifecycle management and marketing submission recommendations. draft guidance for industry and food and drug administration staff","author":"U.S. Food and Drug Administration","year":"2025"},{"key":"10.1016\/j.xjmad.2026.100181_bib7","series-title":"Digital Health Advisory Committee: generative artificial intelligence-enabled digital mental health medical devices","author":"U.S. Food and Drug Administration","year":"2025"},{"key":"10.1016\/j.xjmad.2026.100181_bib8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41746-026-02566-w","article-title":"Systematic review and meta-analysis of chatbots in the management of depressive and anxiety symptoms","volume":"9","author":"Sohn","year":"2026","journal-title":"npj Digit Med"},{"key":"10.1016\/j.xjmad.2026.100181_bib9","article-title":"The efficacy of rule-based versus large language model-based chatbots in alleviating symptoms of depression and anxiety: systematic review and meta-analysis","volume":"27","author":"Q","year":"2025","journal-title":"J Med Internet Res"},{"key":"10.1016\/j.xjmad.2026.100181_bib10","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1038\/s43856-025-01321-8","article-title":"Increasing engagement with cognitive-behavioral therapy using generative AI: a randomized controlled trial","volume":"6","author":"McFadyen","year":"2026","journal-title":"Commun Med"},{"key":"10.1016\/j.xjmad.2026.100181_bib11","doi-asserted-by":"crossref","DOI":"10.1016\/j.jad.2025.119760","article-title":"Depression intervention using AI chatbots with social cues: a randomized trial of effectiveness","volume":"389","author":"Xu","year":"2025","journal-title":"J Affect Disord"},{"key":"10.1016\/j.xjmad.2026.100181_bib12","doi-asserted-by":"crossref","DOI":"10.1038\/s41591-026-04278-w","article-title":"A cognitive layer architecture to support large-language model performance in psychotherapy interactions","author":"Rollwage","year":"2026","journal-title":"Nat Med"},{"key":"10.1016\/j.xjmad.2026.100181_bib13","first-page":"1","article-title":"A decision-support system to personalize antidepressant treatment in major depressive disorder: a randomized clinical trial","volume":"325","author":"Cipriani","year":"2026","journal-title":"JAMA"},{"issue":"3","key":"10.1016\/j.xjmad.2026.100181_bib14","doi-asserted-by":"crossref","DOI":"10.4088\/JCP.24m15634","article-title":"Artificial intelligence in depression-medication enhancement (AID-ME): a cluster randomized trial of a deep-learning-enabled clinical decision support system for personalized depression treatment selection and management","volume":"86","author":"Benrimoh","year":"2025","journal-title":"J Clin Psychiatry"},{"issue":"11","key":"10.1016\/j.xjmad.2026.100181_bib15","doi-asserted-by":"crossref","DOI":"10.1001\/jamanetworkopen.2025.41639","article-title":"Machine learning model for response to internet-delivered CBT vs antidepressant medication","volume":"8","author":"Lee","year":"2025","journal-title":"JAMA Netw Open"},{"key":"10.1016\/j.xjmad.2026.100181_bib16","doi-asserted-by":"crossref","DOI":"10.2196\/40689","article-title":"Digital phenotyping for stress, anxiety, and mild depression: systematic literature review","volume":"12","author":"Choi","year":"2024","journal-title":"JMIR Mhealth Uhealth"},{"key":"10.1016\/j.xjmad.2026.100181_bib17","doi-asserted-by":"crossref","DOI":"10.2196\/57418","article-title":"Use of mobile sensing data for longitudinal monitoring and prediction of depression severity: systematic review","volume":"27","author":"Amin","year":"2025","journal-title":"J Med Internet Res"},{"key":"10.1016\/j.xjmad.2026.100181_bib18","doi-asserted-by":"crossref","DOI":"10.2196\/77066","article-title":"Passive sensing for mental health monitoring using machine learning with wearables and smartphones: scoping review","volume":"27","author":"Shen","year":"2025","journal-title":"J Med Internet Res"},{"issue":"3","key":"10.1016\/j.xjmad.2026.100181_bib19","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1192\/bjp.2024.258","article-title":"Precision psychiatry: thinking beyond simple prediction models - enhancing causal predictions","volume":"226","author":"Krishnadas","year":"2025","journal-title":"Br J Psychiatry"},{"key":"10.1016\/j.xjmad.2026.100181_bib20","doi-asserted-by":"crossref","DOI":"10.3389\/fpsyt.2025.1713833","article-title":"Predictive coding and neurocomputational psychiatry: a mechanistic framework for understanding mental disorders","volume":"16","author":"Shaw","year":"2026","journal-title":"Front Psychiatry"},{"key":"10.1016\/j.xjmad.2026.100181_bib21","doi-asserted-by":"crossref","DOI":"10.2196\/78414","article-title":"The ability of AI therapy bots to set limits with distressed adolescents: simulation-based comparison study","volume":"12","author":"Clark","year":"2025","journal-title":"JMIR Ment Health"},{"key":"10.1016\/j.xjmad.2026.100181_bib22","doi-asserted-by":"crossref","DOI":"10.2196\/79838","article-title":"Evaluating generative AI psychotherapy chatbots used by youth: cross-sectional study","volume":"12","author":"Sobowale","year":"2025","journal-title":"JMIR Ment Health"},{"key":"10.1016\/j.xjmad.2026.100181_bib23","doi-asserted-by":"crossref","DOI":"10.2196\/73623","article-title":"An examination of generative AI response to suicide inquiries: content analysis","volume":"12","author":"Campbell","year":"2025","journal-title":"JMIR Ment Health"},{"key":"10.1016\/j.xjmad.2026.100181_bib24","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41746-026-02531-7","article-title":"A transdiagnostic model for how general purpose AI chatbots can perpetuate OCD and anxiety disorders","volume":"9","author":"Golden","year":"2026","journal-title":"npj Digit Med"}],"container-title":["Journal of Mood &amp; Anxiety Disorders"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2950004426000167?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2950004426000167?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T00:45:23Z","timestamp":1783125923000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2950004426000167"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6]]},"references-count":24,"alternative-id":["S2950004426000167"],"URL":"https:\/\/doi.org\/10.1016\/j.xjmad.2026.100181","relation":{},"ISSN":["2950-0044"],"issn-type":[{"value":"2950-0044","type":"print"}],"subject":[],"published":{"date-parts":[[2026,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Current themes of AI in mental health: Actionable evidence and guardrails for mood and anxiety care","name":"articletitle","label":"Article Title"},{"value":"Journal of Mood & Anxiety Disorders","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.xjmad.2026.100181","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Author(s). Published by Elsevier Inc. on behalf of Anxiety and Depression Association of America.","name":"copyright","label":"Copyright"}],"article-number":"100181"}}