Artificial Intelligence and Stigma in Addiction Research: Insights From the HEALing Communities Study Coalition Meetings.

Journal: Journal of addiction medicine
Published Date: Jun 26, 2025

Abstract

OBJECTIVES: This paper describes how artificial intelligence (AI) was used to analyze meeting minutes from community coalitions participating in the HEALing Communities Study. We examined how often coalitions discussed stigma when selecting evidence-based practices (EBPs), variations in stigma-related discussions across coalitions, how these discussions addressed race, ethnicity, and racial inequity, and whether the frequency of stigma discussions was associated with the proportion of minoritized populations in each community.

Authors

  • Nabila El-Bassel
    Columbia University School of Social Work (NEB, JLD, EW, LG, TH, VF, DAGE, SNB); Department of Statistics Columbia University (EA, TZ); School of Public Health at the University of North Texas Health Science Center (STW); National Institute on Drug Abuse (RC); Department of Psychiatry, Columbia University Irving Medical Center, New York State Psychiatric Institute (ANCC); Columbia University Information Technology (MC, PD, MA); Albert Einstein College of Medicine (DL); City University of New York School of Public Health (NS, TH); Department of Public Health Sciences, Biostatistics, University of Miami (DF).
  • James L David
  • Eric Aragundi
  • Scott T Walters
  • Elwin Wu
  • Louisa Gilbert
  • Redonna Chandler
  • Tim Hunt
  • Victoria Frye
  • Aimee N C Campbell
    New York State Psychiatric Institute, Department of Psychiatry, Columbia University Irving Medical Center, New York State Psychiatric Institute, New York, NY, USA. Electronic address: anc2002@cumc.columbia.edu.
  • Dawn A Goddard-Erich
  • Marc Chen
  • Parixit Davé
  • Shoshana N Benjamin
  • David Lounsbury
  • Nasim Sabounchi
  • Maneesha Aggarwal
  • Dan Feaster
  • Terry Huang
    Center for Systems and Therapeutics, Gladstone Institutes, San Francisco, CA 94158, USA.
  • Tian Zheng

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