Evidence map›Paper›PMID 35123364›Full record

ArticleDrug and alcohol dependence2022

Short communication: Relationship between social determinants and opioid use disorder treatment outcomes by gender.

Anna Beth Parlier-Ahmad, Maja Radic, Dace S Svikis, Caitlin E Martin

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

16 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Effects of E-cigarettes on Combustible Cigarette Smoking Among Adults With Opioid Use Disorder on Buprenorphine: Single Arm ERASER Pilot Trial.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
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

4 authors at 1 institution in 1 country.

Anna Beth Parlier-AhmadDepartment of Psychology, Virginia Commonwealth University, USA. Electronic address: parlierab@vcu.edu.
Maja RadicVirginia Commonwealth University School of Medicine, Virginia Commonwealth University, USA.
Dace S SvikisDepartment of Psychology, Virginia Commonwealth University, USA.
Caitlin E MartinDepartment of Obstetrics and Gynecology and Institute for Drug and Alcohol Studies, Virginia Commonwealth University, 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 YAN ZHANG · 2014 to 2026
$13.8M
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 UL1 TR002649NIDA NIH HHS K23 DA053507NIDA NIH HHS P30 DA033934NIDA NIH HHS T32 DA007027
6 · The paper itself

Abstract

backgroundSocial determinants of health (SDoH) influence health outcomes differentially across gender. Gender differences in SDoH have been identified at baseline in opioid use disorder (OUD) treatment studies, but less is known about how SDoH and gender intersect with OUD treatment trajectories. This study aims to identify social correlates of OUD treatment outcomes from five key areas of social determinants separately for men and women receiving buprenorphine for OUD.

methodsThis is a secondary data analysis of a cross-sectional survey with medical record review conducted with patients recruited from an office based opioid treatment clinic. Participants completed surveys between July-September 2019. A 6-month prospective medical record review was conducted to determine treatment retention, substance use recurrence, and buprenorphine continuation. Chi square, T-tests, and Mann Whitney U tested differences in social factors and OUD outcomes by gender. Gender-stratified multivariable logistic and negative binomial regressions assessed predictors of OUD outcomes.

resultsAmong study participants (n = 142), women were significantly younger (p < 0.001), more likely to live in a safe neighborhood (p = 0.046), and less likely to be employed (p = 0.005) or have substance use recurrence during the study period (p = 0.033) than men. For women, employment (AOR=0.19, p = 0.031) and education (AOR=0.08, p = 0.040) were negatively associated with treatment retention. For men, no social factors were associated with OUD outcomes.

conclusionsSDoH may impact OUD treatment outcomes differently by gender. Addressing MOUD stigma and implementing patient-centered care strategies may facilitate OUD treatment continuation among employed women in recovery. Gender-related social factors should be considered in OUD treatment research.

Indexed as

BuprenorphineOpioid-Related DisordersAnalgesics, OpioidCross-Sectional StudiesFemaleHumansMaleOpiate Substitution TreatmentProspective StudiesSocial Determinants of HealthSocial FactorsTreatment OutcomeAnalgesics, OpioidBuprenorphineBuprenorphineGenderOpioid use disorderSocial determinants of healthTreatment outcome

Identifiers

PMID35123364
PMCPMC8885974
OpenAlexW4210285078

What OpenQuestion holds

Textmetadata
LicenceTDM
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.