Evidence map›Paper›PMID 42032354›Full record

ArticleCommunity mental health journal2026

Identifying Populations with High Opioid Use Disorder Public Stigma: Results from a Multi-State Survey.

Virginia Brown, Thuy Dung Pham, Diane Bales, Maria Bowie, Anna Scheyett

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Article in Community mental health journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Virginia BrownUniversity of Georgia Extension, Athens, United States. virginia.brown@uga.edu.
Thuy Dung PhamUniversity of Georgia Extension, Athens, United States.
Diane BalesUniversity of Georgia, Athens, United States.
Maria BowieClemson University, Clemson, United States.
Anna ScheyettUniversity of Georgia, Athens, United States.

Funding

National Institute of Food and Agriculture FP00029869
6 · The paper itself

Abstract

The United States is facing an ongoing opioid epidemic. Despite tragic outcomes and the availability of effective treatments, only a small proportion of people with opioid use disorder (OUD) receive care. A primary barrier to treatment is public stigma. This study surveyed the general population in 13 states to explore characteristics and subpopulations associated with high OUD stigma, with the goal of informing community anti-stigma education strategies in the U.S. South. A sample of 1,676 respondents were surveyed using the Opening Minds Provider Attitudes Towards Opioid Use Scale (OM-PATOS), and results were analyzed using multiple linear regression. Findings showed that being married, being in a mental-health-related profession, and having higher perceived stress were associated with higher stigma scores, while being female or having a history of a behavioral health problem oneself or in one’s family was associated with lower stigma. Particularly concerning was the finding that mental professionals held significantly higher stigmatizing beliefs, highlighting that outreach to health clinics, mental health centers, pharmacies, and related agencies is needed in community-based anti-stigma campaigns. The study results suggest that community-based anti-stigma programming should target groups with high proportions of men and combine this education with content aimed at stress management. The findings also indicate that organizational partnerships in which members are likely to have low stigma, such as mental health and substance use advocacy groups, would benefit from anti-OUD-stigma efforts

Indexed as

Anti-stigma educationOpioid misuseOpioid use disorderOUD stigmaPredictors of stigmaPublic stigma

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.