Evidence map›Paper›PMID 42058145›Full record

ArticleHealth affairs scholar2026

Homelessness, justice involvement, and publicly funded substance use treatment after Medicaid expansion.

Suparna Das, Kerry Green

Abstract read
In one paragraph

Article in Health affairs scholar, 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

2 authors.

Suparna DasDepartment of Behavioral and Community Health, University of Maryland School of Public Health, College Park, MD 20742, United States.ORCID https://orcid.org/0000-0003-0162-9380
Kerry GreenDepartment of Behavioral and Community Health, University of Maryland School of Public Health, College Park, MD 20742, United States.ORCID https://orcid.org/0000-0002-7146-5783

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: People experiencing homelessness (PEH) and individuals referred through the criminal-justice (CJ) system face high rates of substance use disorders (SUD) and persistent barriers to treatment. Although Medicaid expansion increased insurance coverage among low-income adults with SUD, it remains unclear how these reforms affected entry into publicly funded treatment for individuals experiencing both homelessness and justice involvement. Methods: We analyzed 32.9 million specialty SUD treatment admissions reported to the Treatment Episode Data Set-Admissions (TEDS) from 2006 to 2023. Multinomial logistic regression estimated demographic, socioeconomic, clinical, and insurance correlates across pathways. Comparative interrupted time series (CITS) models with state and year fixed effects assessed changes in admissions involving PEH-CJ following Medicaid expansion. Results: Of all admissions, PEH-CJ admissions showed the highest levels of socioeconomic instability, repeated treatment episodes, and stimulant involvement. Multinomial models identified elevated relative risk among American Indian/Alaska Native, Black, unemployed individuals, those with low educational attainment, and prior treatment episodes. CITS analyses showed no significant post-expansion change in PEH-CJ admission probability. Conclusion: Medicaid expansion did not alter reliance on publicly funded safety-net treatment for PEH-CJ. Continued dependence on the SUPTRS-BG highlights the need to align Medicaid reforms with strengthened safety-net financing and cross-sector support.

Indexed as

criminal-justice systemhomelessnessMedicaid expansionpublic behavioral health systemssubstance use disorder treatmentSUPTRS block grant

Identifiers

PMID42058145
PMCPMC13122626

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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.