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

Ethical, Legal, and Social Issues in AI (114) Machine Learning (2181) Substance Abuse (549) Clinical Mental Health Informatics (72) Methods and New Tools in Mental Health Research (576)

Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/81977, first published .
AI-Generated Images of Substance Use and Recovery: Mixed Methods Case Study

AI-Generated Images of Substance Use and Recovery: Mixed Methods Case Study

AI-Generated Images of Substance Use and Recovery: Mixed Methods Case Study

Authors of this article:

Kathryn Heley1, 2 Author Orcid Image ;   Jeffrey K Hom3, 4 Author Orcid Image ;   Linnea Laestadius1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Kathryn Heley   1, 2 * , PhD, MPH ;   Jeffrey K Hom   3, 4 * , MD, MPH, MSHP ;   Linnea Laestadius   1 * , PhD, MPP

1 Zilber College of Public Health, University of Wisconsin Milwaukee, Milwaukee, WI, United States

2 Rutgers Institute for Nicotine & Tobacco Studies, Rutgers University, New Brunswick, NJ, United States

3 DrPH Program, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States

4 Behavioral Health Services, San Francisco Department of Public Health, San Francisco, CA, United States

*all authors contributed equally

Corresponding Author:

  • Linnea Laestadius, PhD, MPP
  • Zilber College of Public Health, University of Wisconsin Milwaukee
  • 1240 N 10th St
  • Milwaukee, WI 53205
  • United States
  • Phone: 1 (414) 251-5607
  • Email: llaestad@uwm.edu