Evidence map›Paper›PMID 34254271›Full record

ArticleJournal of racial and ethnic health disparities2022

Treatment Outcomes Among Black Adults Receiving Medication for Opioid Use Disorder.

Anna Beth Parlier-Ahmad, Mickeal Pugh, Caitlin E Martin

Open access · bronzeAbstract read
In one paragraph

Article in Journal of racial and ethnic health disparities, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 32 citations in OpenAlex.

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  11. Informing evidence-based medicine for opioid use disorder using pharmacoeconomic studies.Expert review of pharmacoeconomics & outcomes research · 2024
    Review
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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

3 authors at 1 institution in 1 country.

Anna Beth Parlier-AhmadDepartment of Psychology, Virginia Commonwealth University, 806 W. Franklin St, Richmond, VA, 23284, USA. parlierab@vcu.edu.ORCID 0000-0002-6862-9548
Mickeal PughDepartment of Psychology, Virginia Commonwealth University, 806 W. Franklin St, Richmond, VA, 23284, USA.
Caitlin E MartinDepartment of Obstetrics and Gynecology and Institute for Drug and Alcohol Studies, Virginia Commonwealth University, 1250 E. Marshall St, Richmond, VA, 23298, USA.
Virginia Commonwealth University · US

Funding

Research Supplement to Promote Diversity in Health Related ResearchUL1TR002649 · NCATS · VIRGINIA COMMONWEALTH UNIVERSITY · PI MOELLER, FREDERICK GERARD · 2018 to 2022
$19.1M
TRAINING IN THE PHARMACOLOGY OF ABUSED DRUGST32DA007027 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI William L. Dewey · 1985 to 2026
$14.7M
VCU Center for Drug Addiction ResearchP30DA033934 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI Matthew Sean Halquist · 2014 to 2026
$13.8M
Institutional Career Development CoreKL2TR002648 · NCATS · VIRGINIA COMMONWEALTH UNIVERSITY · PI NANASINKAM, SERGE PATRICK, SANYAL, ARUN J · 2018 to 2022
$3.7M
CTSA K12 Program at Virginia Commonwealth UniversityK12TR004364 · NCATS · VIRGINIA COMMONWEALTH UNIVERSITY · PI SERGE PATRICK NANASINKAM, Gretchen N Neigh · 2023 to 2026
$3.0M
Adaptation and Refinement of a Clinically Applicable Phenotypic Battery to Individualize Opioid Use Disorder Treatment for Women Through the Postpartum PeriodK23DA053507 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI MARTIN, CAITLIN EILEEN · 2021 to 2025
$1.0M
NCATS NIH HHS K12 TR004364NCATS NIH HHS KL2 TR002648NCATS NIH HHS UL1 TR002649NIDA NIH HHS K23 DA053507NIDA NIH HHS P30 DA033934NIDA NIH HHS T32 DA007027
6 · The paper itself

Abstract

Largely due to structural racism, Black people with substance use disorder have worse outcomes than their White counterparts. The opioid epidemic has amplified these racial disparities. Little is known about strengths that buffer against the systemic issues that disproportionately impact Black adults with opioid use disorder (OUD), particularly those receiving buprenorphine for OUD. The objectives of this study are to (1) assess psychosocial and clinical predictors of OUD outcomes and (2) explore differences in OUD outcomes by gender among a sample of Black adults receiving buprenorphine. This is a secondary data analysis of a cross-sectional survey and medical record review with a convenience sample recruited from an addiction medicine clinic. Analyses included Black participants who provided at least one urine drug test during the study period (n = 98). Prospective 6-month OUD outcomes (treatment retention, substance use recurrence, and buprenorphine continuation) were abstracted from the medical record. Univariate analyses explored differences by gender. Multivariate regressions assessed predictors of OUD outcomes. Participants were 53% women and middle-aged (47 ± 12 years). The majority (59%) had been in treatment for at least 1 year at study enrollment. Substance use recurrence was common, but many individuals remained in treatment. OUD outcomes did not differ by gender. Older age and absence of injection opioid use history were significant predictors of treatment retention and buprenorphine continuation. When provided access to high-quality treatment, Black adults with OUD demonstrate positive outcomes. Addressing structural racism and developing culturally informed treatment interventions are necessary to improve access to high-quality care for this community.

Indexed as

BuprenorphineOpioid-Related DisordersAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedOpiate Substitution TreatmentProspective StudiesTreatment OutcomeBuprenorphineBlack adultsBuprenorphineMedication for opioid use disorder (MOUD)Opioid use disorder (OUD)Social determinants of health

Identifiers

PMID34254271
PMCPMC8274965
OpenAlexW3180854678

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.