Evidence map›Paper›PMID 40472645›Full record

ArticleSocial science & medicine (1982)2025

Mental health behaviors and suicide risk among White and Black adults with Opioid Use Disorder.

Hannah S Szlyk, Daphne Lew, Xiao Li, Lindsey M Filiatreau, JaNiene Peoples, Erin Kasson, Patricia Cavazos-Rehg

Abstract readComparative Study
In one paragraph

Article in Social science & medicine (1982), 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

7 authors.

Hannah S SzlykDepartment of Psychiatry, Washington University School of Medicine, 660 S Euclid Ave, Campus Box 8314, St. Louis, MO, 63130, USA. Electronic address: szlyk@wustl.edu.
Daphne LewInstitute for Informatics, Data Science, and Biostatistics, Washington University in St. Louis School of Medicine, Campus Box 8132, St. Louis, MO, 63110, USA.
Xiao LiDepartment of Psychiatry, Washington University School of Medicine, 660 S Euclid Ave, Campus Box 8314, St. Louis, MO, 63130, USA.
Lindsey M FiliatreauDepartment of Psychiatry, Washington University School of Medicine, 660 S Euclid Ave, Campus Box 8314, St. Louis, MO, 63130, USA.
JaNiene PeoplesBrown School Washington University in St. Louis, 1 Brookings Drive, Campus Box 1196, St. Louis, MO, 63130, USA.
Erin KassonDepartment of Psychiatry, Washington University School of Medicine, 660 S Euclid Ave, Campus Box 8314, St. Louis, MO, 63130, USA.
Patricia Cavazos-RehgDepartment of Psychiatry, Washington University School of Medicine, 660 S Euclid Ave, Campus Box 8314, St. Louis, MO, 63130, USA.

Funding

Transdisciplinary Training in Addictions ResearchT32DA015035 · NIDA · WASHINGTON UNIVERSITY · PI Leopoldo J Cabassa, Patricia A Cavazos-Rehg · 2002 to 2026
$5.3M
Washington University Career Development Program in Drug Abuse and AddictionK12DA041449 · NIDA · WASHINGTON UNIVERSITY · PI Laura J. Bierut, Patricia A Cavazos-Rehg · 2017 to 2026
$4.2M
Training LEADers to Accelerate Global Mental Health Disparities in Research (LEAD)T37MD014218 · NIMHD · WASHINGTON UNIVERSITY · PI CAVAZOS-REHG, PATRICIA A, SSEWAMALA, FRED M · 2019 to 2023
$1.3M
Leveraging mHealth to Promote Recovery from Opioid Use Disorder and Commonly Occurring Mental Health Disorders among Residents of a Medium-Sized Midwestern CityK01DA058750 · NIDA · WASHINGTON UNIVERSITY · PI Hannah Szlyk · 2023 to 2026
$755k
Leveraging Social Media for Substance Use Behavioral Insight K02DA043657 · NIDA · WASHINGTON UNIVERSITY · PI CAVAZOS-REHG, PATRICIA A · 2017 to 2021
$591k
NIDA NIH HHS K01 DA058750NIDA NIH HHS K02 DA043657NIDA NIH HHS K12 DA041449NIDA NIH HHS T32 DA015035NIMHD NIH HHS T37 MD014218
6 · The paper itself

Abstract

This study explores differences in depression and anxiety symptoms and suicidal behaviors by symptom severity and race among White and Black adults with Opioid Use Disorder (OUD). We examine the viability of using PHQ-9 and GAD-7 symptoms scores to indicate past suicidal behavior by race. We analyze baseline data among individuals who were enrolled in a supplemental digital intervention intended to support adults with OUD in recovery. White (n = 345) or Black (n = 76) individuals were included in the analytic sample. Participants completed an online survey on depression (PHQ-9) and anxiety (GAD-7) symptoms, past 30-day (P30D) suicidal ideation (yes/no), and lifetime suicide attempts (yes/no). Descriptive statistics were calculated; mean symptom scores were compared by race. Race-stratified precision-recall (PR) curves were used to determine the extent to which mental health scores indicated P30D suicidal ideation and the optimal cut points for each measure. Whites had significantly higher depression and anxiety scores than Black participants. When comparing past suicidal behaviors, there were no significant differences by race. A larger proportion of Black participants with moderate or severe depression and anxiety endorsed past suicidal behavior compared to Whites. PR curves and area under the curve values suggested that optimal cut-points for mental health scores as an indicator for suicidal ideation differed by race. Alone, mental health symptom severity and total scores may not be ideal indicators of suicide risk. Mental health screenings plus suicide risk evaluations are recommended for OUD patients, especially Black Americans.

Indexed as

Black or African AmericanOpioid-Related DisordersSuicideWhiteAdultAnxietyDepressionFemaleHumansMaleMental HealthMiddle AgedRisk FactorsSuicidal IdeationSuicide, AttemptedSurveys and QuestionnairesBlack AmericansMental healthOpioid use disorderSuicidal ideationSuicide attempt

Identifiers

PMID40472645
PMCPMC12758180

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.