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This paper is in the following e-collection/theme issue:

Research Letter (148) Substance Abuse (681) Artificial Intelligence (5022) Opioid and Related Substance Misuse (246) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (177) Generative Language Models Including ChatGPT (1638) AI Language Models in Health Care (832)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/100667, first published .
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Use of Generative AI for Substance-Related Information Among Young Adults (Aged 18-29 Years) in the United States: Cross-Sectional Survey

Use of Generative AI for Substance-Related Information Among Young Adults (Aged 18-29 Years) in the United States: Cross-Sectional Survey

Authors of this article:

Mireia Triguero Roura1 Author Orcid Image ;   Pia M Mauro1, 2 Author Orcid Image
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Mireia Triguero Roura   1 , PhD ;   Pia M Mauro   1, 2 , PhD

1 Center for Pharmacoepidemiology, Rutgers, The State University of New Jersey, New Brunswick, NJ, United States

2 Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, United States

Corresponding Author:

  • Mireia Triguero Roura, PhD
  • Center for Pharmacoepidemiology
  • Rutgers, The State University of New Jersey
  • 112 Patterson Street
  • New Brunswick, NJ 08901
  • United States
  • Phone: 1 (848) 932-8413
  • Email: mt1534@ifh.rutgers.edu