Evidence map›Paper›PMID 42828345›Full record

ArticleAddiction research & theory2026

Gender Differences in Health Risk Factors for Co-Use of Gabapentin and Opioids among Black Americans.

Paris B Wheeler, Kaylee A Palomino, Kyndall Jackson, Danelle Stevens-Watkins

Abstract read
In one paragraph

Article in Addiction research & theory, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

4 authors.

Paris B WheelerUniversity of Cincinnati Department of Psychology.
Kaylee A PalominoGeorgia Institute of Technology College of Lifetime Learning.
Kyndall JacksonUniversity of Cincinnati Department of Psychology.
Danelle Stevens-WatkinsUniversity of Kentucky Department of Educational, School, and Counseling Psychology.

Funding

Mentoring Emerging Scientists for Careers in Substance Use ResearchR25DA035163 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Carmen L Masson, Gideon St.Helen · 2014 to 2026
$4.6M
Research Examining Factors Associated with the Opioid Crisis among Underserved African Americans (REFOCUS)R01DA049333 · NIDA · UNIVERSITY OF KENTUCKY · PI STEVENS-WATKINS, DANELLE J · 2020 to 2024
$3.2M
NIDA NIH HHS L60 DA061550NIDA NIH HHS R01 DA049333NIDA NIH HHS R25 DA035163
6 · The paper itself

Abstract

Despite recent increases in gabapentin misuse among Black Americans who use opioids, there is a dearth of research examining gabapentin misuse among this high-risk group. The current study examines associations between health-related risk factors (e.g., pain and insomnia) and gabapentin misuse among Black adults who use opioids, as well as gender differences in these associations. Data were derived from a mixed-methods study examining opioid misuse among Black adults. The current sample included participants who confirmed lifetime prescription opioid misuse during the study survey (n=758). Stepwise logistic regression analyses, controlling for age, education, and past 30-day depression and anxiety, were used to examine main and interaction effects of pain, insomnia, and gender on odds of gabapentin misuse. Pain was assessed using the Brief Pain Inventory, and insomnia was assessed using the Insomnia Severity Index. Gabapentin misuse, depression, and anxiety were assessed using a modified version of the Addiction Severity Index-Lite. Overall, approximately 16% of participants reported gabapentin misuse in the past 30 days. Analyses showed a significant main effect of age (AOR=1.03, 95% CI [1.01, 1.04]), gender (AOR=5.60, 95% CI[2.44, 12.86]), pain (AOR=2.54, 95%CI [1.24, 5.22]) and insomnia (AOR=2.86, 95%CI [1.24, 6.38]) on odds of gabapentin misuse, and a significant interaction between gender and insomnia (AOR=.36, 95%CI [.13, .95]). Findings highlight a need to address sleep concerns among Black adults who misuse opioids and gabapentin, and for intervention approaches tailored by race and gender.

Indexed as

Black or African AmericanGabapentinInsomniaOpioidsPain

Identifiers

PMID42828345
PMCPMC13632708

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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.