{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T06:06:53Z","timestamp":1790230013259,"version":"4.1.0"},"reference-count":7,"publisher":"Wiley","issue":"12","license":[{"start":{"date-parts":[[2024,8,14]],"date-time":"2024-08-14T00:00:00Z","timestamp":1723593600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100000027","name":"National Institute on Alcohol Abuse and Alcoholism","doi-asserted-by":"publisher","award":["K01AA030614"],"award-info":[{"award-number":["K01AA030614"]}],"id":[{"id":"10.13039\/100000027","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000027","name":"National Institute on Alcohol Abuse and Alcoholism","doi-asserted-by":"publisher","award":["K23AA025707"],"award-info":[{"award-number":["K23AA025707"]}],"id":[{"id":"10.13039\/100000027","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000027","name":"National Institute on Alcohol Abuse and Alcoholism","doi-asserted-by":"publisher","award":["K24AA022136\u201010"],"award-info":[{"award-number":["K24AA022136\u201010"]}],"id":[{"id":"10.13039\/100000027","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Addiction"],"published-print":{"date-parts":[[2024,12]]},"abstract":"Abstract<\/jats:title>\n \n Background and aims<\/jats:title>\n Alcohol use disorder (AUD) is characterized by low levels of engagement with effective treatments. Enhancing awareness of AUD treatments and how to navigate the treatment system is crucial. Many individuals use online sources (e.g. search engines) for answers to health\u2010related questions; web\u2010based results include a mix of high\u2010 and low\u2010quality information. Artificial intelligence may improve access to quality health information by providing concise, high\u2010quality responses to complex health\u2010related questions. This study evaluated the quality of ChatGPT\u20104 responses to AUD\u2010related queries.<\/jats:p>\n <\/jats:sec>\n \n Method<\/jats:title>\n A comprehensive list of 64 AUD\u2010related questions was developed through a combination of Google Trends analysis and expert consultation. ChatGPT\u20104 was prompted with each question, followed by a request to provide 3\u20135 peer\u2010reviewed scientific citations supporting each response. Responses were evaluated for whether they were evidence\u2010based, provided a referral and provided supporting documentation.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n ChatGPT\u20104 responded to all AUD\u2010related queries, with 92.2% (59\/64) of responses being fully evidence\u2010based. Although only 12.5% (8\/64) of responses included referrals to external resources, all responses (100%; 5\/5) to location\u2010specific (\u2018near me\u2019) queries directed individuals to appropriate resources like the NIAAA Treatment Navigator. Most (85.9%; 55\/64) responses to the follow\u2010up question provided supporting documentation.<\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n ChatGPT\u20104 responds to alcohol use disorder\u2010related questions with evidence\u2010based information and supporting documentation. ChatGPT\u20104 could be promoted as a reasonable resource for those looking online for alcohol use disorder\u2010related information.<\/jats:p>\n <\/jats:sec>","DOI":"10.1111\/add.16650","type":"journal-article","created":{"date-parts":[[2024,8,14]],"date-time":"2024-08-14T21:58:19Z","timestamp":1723672699000},"page":"2205-2210","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["ChatGPT\u20104: Alcohol use disorder responses"],"prefix":"10.1111","volume":"119","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8182-4057","authenticated-orcid":false,"given":"Alex M.","family":"Russell","sequence":"first","affiliation":[{"name":"Recovery Research Institute Massachusetts General Hospital and Harvard Medical School Boston MA United\u00a0States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1934-2639","authenticated-orcid":false,"given":"Samuel F.","family":"Acuff","sequence":"additional","affiliation":[{"name":"Recovery Research Institute Massachusetts General Hospital and Harvard Medical School Boston MA United\u00a0States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6915-0750","authenticated-orcid":false,"given":"John F.","family":"Kelly","sequence":"additional","affiliation":[{"name":"Recovery Research Institute Massachusetts General Hospital and Harvard Medical School Boston MA United\u00a0States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jon\u2010Patrick","family":"Allem","sequence":"additional","affiliation":[{"name":"Department of Health Behavior, Society and Policy, Rutgers School of Public Health The State University of New Jersey New Brunswick NJ United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brandon G.","family":"Bergman","sequence":"additional","affiliation":[{"name":"Recovery Research Institute Massachusetts General Hospital and Harvard Medical School Boston MA United\u00a0States"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2024,8,14]]},"reference":[{"key":"e_1_2_8_2_1","volume-title":"Results from the 2022 National Survey on Drug Use and Health Key Substance Use and Mental Health Indicators in the United States: Results from the 2022 National Survey on Drug Use and Health","author":"Substance Abuse and Mental Health Services Administration","year":"2023"},{"key":"e_1_2_8_3_1","volume-title":"Majority of adults look online for health information","author":"Pew Research Center","year":"2013"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.2196\/41527"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2023.17517"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1001\/jamainternmed.2023.1838"},{"key":"e_1_2_8_7_1","volume-title":"OpenAI's ChatGPT now has 100 million weekly active users","author":"Malik A","year":"2023"},{"key":"e_1_2_8_8_1","volume-title":"ChatGPT4","author":"OpenAI"}],"container-title":["Addiction"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/add.16650","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,15]],"date-time":"2024-11-15T23:01:41Z","timestamp":1731711701000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/add.16650"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,14]]},"references-count":7,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2024,12]]}},"alternative-id":["10.1111\/add.16650"],"URL":"https:\/\/doi.org\/10.1111\/add.16650","archive":["Portico"],"relation":{},"ISSN":["0965-2140","1360-0443"],"issn-type":[{"value":"0965-2140","type":"print"},{"value":"1360-0443","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,8,14]]},"assertion":[{"value":"2024-01-31","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-07-23","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-08-14","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}