Evidence map›Paper›PMID 35783464›Full record

ArticleSubstance abuse : research and treatment2022

"You're Not Supposed to be on it Forever": Medications to Treat Opioid Use Disorder (MOUD) Related Stigma Among Drug Treatment Providers and People who Use Opioids.

Julia Dickson-Gomez, Antoinette Spector, Margaret Weeks, Carol Galletly, Madelyn McDonald, Helena Danielle Green Montaque

Open access · goldAbstract read
In one paragraph

Article in Substance abuse : research and treatment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
15.4field-weighted citation impact, top 1% of its field
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

56 citing papers in PubMed, 80 citations in OpenAlex.

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  13. Mobile addiction treatment units: a narrative review.Addiction science & clinical practice · 2025
    Review
  14. Article
  15. Article
  16. Induction of Medication for Opioid Use Disorder in Primary Care.Journal of the American Board of Family Medicine : JABFM · 2025
    Article
  17. Article
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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 at 4 institutions in 1 country.

Julia Dickson-GomezMedical College of Wisconsin, Milwaukee, WI, USA.ORCID https://orcid.org/0000-0002-9388-847X
Antoinette SpectorUniversity of Wisconsin-Milwaukee, Milwaukee, WI, USA.ORCID https://orcid.org/0000-0002-5821-7881
Margaret WeeksInstitute for Community Research, Hartford, CT, USA.
Carol GalletlyMedical College of Wisconsin, Milwaukee, WI, USA.
Madelyn McDonaldNational Institutes of Health, Bethesda, MD, USA.
Helena Danielle Green MontaqueInstitute for Community Research, Hartford, CT, USA.
Institute For Community Research · USMedical College of Wisconsin · USNational Institutes of Health · USUniversity of Wisconsin–Milwaukee · US

Funding

Effects of State Laws to Reduce Opioid Diversion on Transitions to Injection Drug Use and HIV/HCV TransmissionR01DA044971 · NIDA · MEDICAL COLLEGE OF WISCONSIN · PI DICKSON-GOMEZ, JULIA B · 2018 to 2022
$3.0M
NIDA NIH HHS R01 DA044971
6 · The paper itself

Abstract

Opioid use disorder (OUD) through prescription opioid misuse, heroin, and illicitly manufactured fentanyl use has increased dramatically in the past 20 years. Medications to treat opioid use disorder (MOUD) is considered the gold standard for treating opioid use disorders but uptake remains low. Recently, Madden has argued that in addition to the stigma assigned to substance use and people with SUD, MOUDs also are stigmatized, a process she labels

Indexed as

buprenorphinemethadonesocial stigmaSubstance-related disorders

Identifiers

PMID35783464
PMCPMC9243471
OpenAlexW4285250810

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.