Alex M. Russell, Samuel F. Acuff, John F. Kelly, Jon-Patrick Allem, Brandon G. Bergman
{"title":"ChatGPT-4: Alcohol use disorder responses","authors":"Alex M. Russell, Samuel F. Acuff, John F. Kelly, Jon-Patrick Allem, Brandon G. Bergman","doi":"10.1111/add.16650","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background and aims</h3>\n \n <p>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-related questions; web-based results include a mix of high- and low-quality information. Artificial intelligence may improve access to quality health information by providing concise, high-quality responses to complex health-related questions. This study evaluated the quality of ChatGPT-4 responses to AUD-related queries.</p>\n </section>\n \n <section>\n \n <h3> Method</h3>\n \n <p>A comprehensive list of 64 AUD-related questions was developed through a combination of Google Trends analysis and expert consultation. ChatGPT-4 was prompted with each question, followed by a request to provide 3–5 peer-reviewed scientific citations supporting each response. Responses were evaluated for whether they were evidence-based, provided a referral and provided supporting documentation.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>ChatGPT-4 responded to all AUD-related queries, with 92.2% (59/64) of responses being fully evidence-based. Although only 12.5% (8/64) of responses included referrals to external resources, all responses (100%; 5/5) to location-specific (‘near me’) queries directed individuals to appropriate resources like the NIAAA Treatment Navigator. Most (85.9%; 55/64) responses to the follow-up question provided supporting documentation.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>ChatGPT-4 responds to alcohol use disorder-related questions with evidence-based information and supporting documentation. ChatGPT-4 could be promoted as a reasonable resource for those looking online for alcohol use disorder-related information.</p>\n </section>\n </div>","PeriodicalId":109,"journal":{"name":"Addiction","volume":"119 12","pages":"2205-2210"},"PeriodicalIF":5.2000,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Addiction","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/add.16650","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHIATRY","Score":null,"Total":0}
引用次数: 0
Abstract
Background and aims
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-related questions; web-based results include a mix of high- and low-quality information. Artificial intelligence may improve access to quality health information by providing concise, high-quality responses to complex health-related questions. This study evaluated the quality of ChatGPT-4 responses to AUD-related queries.
Method
A comprehensive list of 64 AUD-related questions was developed through a combination of Google Trends analysis and expert consultation. ChatGPT-4 was prompted with each question, followed by a request to provide 3–5 peer-reviewed scientific citations supporting each response. Responses were evaluated for whether they were evidence-based, provided a referral and provided supporting documentation.
Results
ChatGPT-4 responded to all AUD-related queries, with 92.2% (59/64) of responses being fully evidence-based. Although only 12.5% (8/64) of responses included referrals to external resources, all responses (100%; 5/5) to location-specific (‘near me’) queries directed individuals to appropriate resources like the NIAAA Treatment Navigator. Most (85.9%; 55/64) responses to the follow-up question provided supporting documentation.
Conclusions
ChatGPT-4 responds to alcohol use disorder-related questions with evidence-based information and supporting documentation. ChatGPT-4 could be promoted as a reasonable resource for those looking online for alcohol use disorder-related information.
期刊介绍:
Addiction publishes peer-reviewed research reports on pharmacological and behavioural addictions, bringing together research conducted within many different disciplines.
Its goal is to serve international and interdisciplinary scientific and clinical communication, to strengthen links between science and policy, and to stimulate and enhance the quality of debate. We seek submissions that are not only technically competent but are also original and contain information or ideas of fresh interest to our international readership. We seek to serve low- and middle-income (LAMI) countries as well as more economically developed countries.
Addiction’s scope spans human experimental, epidemiological, social science, historical, clinical and policy research relating to addiction, primarily but not exclusively in the areas of psychoactive substance use and/or gambling. In addition to original research, the journal features editorials, commentaries, reviews, letters, and book reviews.