Evidence map›Paper›PMID 41767139›Full record

ArticleFrontiers in psychiatry2026

Factors associated with reduced substance use and treatment completion among justice-involved pregnant women.

John Moore, Melissa G Murphy, Austin Spitz, Samantha Goldfarb

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2026. 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

4 authors.

John MooreFlorida State University College of Social Work, Tallahassee, FL, United States.
Melissa G MurphyTemple University School of Social Work, Philadelphia, PA, United States.
Austin SpitzFlorida State University College of Medicine, Tallahassee, FL, United States.
Samantha GoldfarbFlorida State University College of Medicine, Tallahassee, FL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Pregnant women with criminal justice-system involvement (CJI) and substance use disorders (SUD) face considerable barriers that impact substance use treatment outcomes. However, limited research has investigated such factors among this population. To address this gap, we investigated associations of sociodemographic and treatment-related factors with reduced substance use and treatment completion among CJI pregnant women who utilized outpatient treatment. Methods: Data came from the 2021-2022 Treatment Episode Dataset-Discharges (TEDS-D). The sample included 1,903 CJI pregnant women discharged from outpatient treatment. Multivariable logistic regression was used to measure associations of sociodemographic and treatment-related predictors with reduced substance use and treatment completion. Results: Compared to alcohol use, marijuana use was associated with lower odds of reduced use, whereas opioid and stimulant use were each associated with lower odds of treatment completion. Self-help group attendance was associated with higher odds of both outcomes. Discussion: Findings suggest that substance type may be an important consideration for treatment planning. Examining substance-specific factors that facilitate positive treatment outcomes is a practical next step for future studies. Self-help groups were a key facilitator of positive outcomes, suggesting that the integration of peer recovery support models into formal substance use treatment services warrants consideration.

Indexed as

criminal justice systempregnant womenself-help groupssubstance useSUDtreatmenttreatment outcomes

Identifiers

PMID41767139
PMCPMC12935920

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Registered trials

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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.