Evidence map›Paper›PMID 40917450›Full record

ArticlePublic opinion quarterly2025

Concerns About Medications for Opioid Use Disorder Among American Indian Community Members: A Qualitative Secondary Analysis.

Fiona Grubin, Morgan E Neavill, Tessa Sawyer, Amanda Larson, Emily Maltaverne, Monica C Skewes

Abstract read
In one paragraph

Article in Public opinion quarterly, 2025. 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

6 authors.

Fiona GrubinPhD Candidate, Indigenous and Rural Health Program, Montana State University, Bozeman, MT, US.ORCID https://orcid.org/0000-0002-9181-1997
Morgan E NeavillPhD Candidate, Department of Psychology, Montana State University, Bozeman, MT, US.ORCID https://orcid.org/0009-0004-1131-458X
Tessa SawyerGraduate Student, School of Medicine, University of Washington, Seattle, WA, US.
Amanda LarsonResearch Assistant, Department of Psychology, Montana State University, Bozeman, MT, US.
Emily MaltaverneResearch Assistant, Department of Psychology, Montana State University, Bozeman, MT, US.
Monica C SkewesProfessor, Department of Psychology, Montana State University, Bozeman, MT, US.ORCID https://orcid.org/0000-0001-9362-9825

Funding

Translational Biomarkers CoreP20GM104417 · NIGMS · MONTANA STATE UNIVERSITY - BOZEMAN · PI MARGETTS, MIRANDA L · 2014 to 2023
$23.1M
NIGMS NIH HHS P20 GM104417
6 · The paper itself

Abstract

Opioid use disorder and mortality due to opioid overdose pose significant public health problems in the United States, particularly among American Indian/Alaska Native (AI/AN) communities that experience disproportionately high rates of opioid overdose deaths. Such health inequities are related to centuries of ongoing colonization and oppression that inform social determinants of health today. Using medications to treat opioid use disorder (MOUD) has broad support among health professionals due to substantial evidence of its effectiveness and benefits to patients. However, most AI/ANs who need MOUD never receive it. This analysis sought to identify concerns related to the use of MOUD and how they inform barriers to implementing MOUD in a rural AI reservation community. Secondary analysis of qualitative data was conducted using reflexive thematic analysis. Findings reveal key themes related to conditions for when to use MOUD, recovery, distrust of Western medicine, and individual viewpoints on MOUD. Implications of these findings for reducing barriers to MOUD in AI/AN communities are discussed.

Identifiers

PMID40917450
PMCPMC12411911

What OpenQuestion holds

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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.