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The cognitive, affective, and behavioral expression of self-stigma among people who use drugs in online substance use communities

Summary

This study developed a codebook for self-stigma across cognitive, affective, and behavioral domains and analyzed Reddit posts from people who use drugs. Results show that self-stigma is prevalent, and behavioral indicators often precede core ones, challenging progressive models.

SourcearXiv Computational LinguisticsAuthor: Layla Bouzoubaa, Hyung Wook Choi, Milan Varghese, Valerie Earnshaw, Rezvaneh Rezapour
The cognitive, affective, and behavioral expression of self-stigma among people who use drugs in online substance use communities
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[2606.25143] The cognitive, affective, and behavioral expression of self-stigma among people who use drugs in online substance use communities

[Submitted on 23 Jun 2026]

Title:The cognitive, affective, and behavioral expression of self-stigma among people who use drugs in online substance use communities

View a PDF of the paper titled The cognitive, affective, and behavioral expression of self-stigma among people who use drugs in online substance use communities, by Layla Bouzoubaa and 4 other authors

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Abstract:Objectives: To develop a codebook for self-stigma across cognitive, affective, and behavioral domains, and to estimate the prevalence, co-occurrence, and temporal patterns of these indicators in Reddit posts by people who use drugs. Methods: We developed a ten-indicator codebook through consensus-based abductive coding spanning cognitive (self-labeling, pessimism/self-defeatism, deservingness/worthlessness), affective (shame, guilt/self-blame, despair/hopelessness), and behavioral (concealment, anticipated rejection, desire to quit, ambivalence) domains; two coders reached substantial agreement (Cohen's k = 0.72). We then scaled classification with a large language model validated against expert coding (k = 0.73, F1 = 0.80), analyzing 72,115 thread-initiating posts from 1,660 English-language users (2006-2025). Results: 3,838 posts (5.3%) from 1,228 users (74.0%) contained self-stigma; all ten indicators discriminated self-stigma posts (RR 3.6 to 86.2), led by self-labeling (56.0%) and despair/hopelessness (48.5%). Self-stigma was integrated: core and behavioral indicators were strongly associated at the user level (OR = 4.65, 95% CI 3.12-6.94, p

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Key points

  • Developed a ten-indicator codebook for self-stigma covering cognitive, affective, and behavioral domains.
  • Analyzed 72,115 posts from 1,660 users, with 5.3% containing self-stigma.
  • Behavioral indicators (e.g., desire to quit) often appear before core indicators (e.g., shame).
  • Pessimism deepens over time, marking a target for early digital intervention.

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