Evidence map›Paper›PMID 41554459›Full record

ArticleJournal of substance use and addiction treatment2026

Addiction care outcomes between insured and state opioid response grant-funded patients in a Medicaid non-expansion state.

Thao D V Le, Thomas J Reese, Andrew D Wiese, Kristopher A Kast, Rachel P Craig, Mauli V Shah, Mariah Smith, Amanda U von Horn, David Marcovitz

Abstract read
In one paragraph

Article in Journal of substance use and addiction treatment, 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

9 authors.

Thao D V LeVanderbilt University School of Medicine, 2209 Garland Avenue, Nashville, TN, 37240, USA. Electronic address: tdle@mgh.harvard.edu.
Thomas J ReeseVanderbilt University Medical Center, Department of Biomedical Informatics, 2525 West End Avenue, Nashville, TN, 37203, USA. Electronic address: thomas.reese@vumc.org.
Andrew D WieseVanderbilt University Medical Center, Department of Health Policy, 2525 West End Ave, Nashville, TN, 37203, USA. Electronic address: andrew.d.wiese.1@vumc.org.
Kristopher A KastVanderbilt University Medical Center, Department of Psychiatry and Behavioral Sciences, 1601 23rd Ave S, Nashville, TN, 37212, USA. Electronic address: kristopher.a.kast@vumc.org.
Rachel P CraigVanderbilt University Medical Center, Department of Psychiatry and Behavioral Sciences, 1601 23rd Ave S, Nashville, TN, 37212, USA. Electronic address: rachel.p.craig@vumc.org.
Mauli V ShahVanderbilt University Medical Center, Department of Biomedical Informatics, 2525 West End Avenue, Nashville, TN, 37203, USA. Electronic address: mauli.shah@vumc.org.
Mariah SmithVanderbilt University Medical Center, Department of Psychiatry and Behavioral Sciences, 1601 23rd Ave S, Nashville, TN, 37212, USA. Electronic address: mariah.smith@vumc.org.
Amanda U von HornVanderbilt University Medical Center, Department of Psychiatry and Behavioral Sciences, 1601 23rd Ave S, Nashville, TN, 37212, USA. Electronic address: amanda.u.von.horn@vumc.org.
David MarcovitzVanderbilt University Medical Center, Department of Psychiatry and Behavioral Sciences, 1601 23rd Ave S, Nashville, TN, 37212, USA. Electronic address: david.marcovitz@vumc.org.

Funding

Benzodiazepine restrictions and the prevention of overdoses and other harmsK01DA051683 · NIDA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI WIESE, ANDREW DAVID · 2021 to 2024
$688k
AHRQ HHS K08 HS029695NIDA NIH HHS K01 DA051683
6 · The paper itself

Abstract

introductionThis study examines the impact of the State Opioid Response (SOR) grant on addiction care outcomes in uninsured patients at a longitudinal addiction and co-occurring disorder clinic (LACC).

methodsIn this retrospective cohort study, treatment engagement, substance use, and acute care utilization outcomes were compared between SOR grant-funded and traditionally insured patients receiving medications for opioid use disorder (MOUD).

resultsData from 607 patients were analyzed, with 472 in the traditional insurance group and 135 in the SOR grant-funded group. The SOR grant-funded group had more male patients (70.4% vs 48%) and higher rates of cannabis use disorder (19.3% vs 12.1%), stimulant use disorder (51.9% vs 26.3%), and HCV infection (3.7% vs 0.8%). Unadjusted data showed higher rates of MOUD adherence, opioid use, and stimulant co-use in SOR grant-funded patients. After adjusting for demographic, social, and clinical differences, care outcomes were similar between the two groups, although SOR grant-funded patients had longer general hospital admissions compared to traditionally insured patients.

conclusionThe comparable adjusted outcomes between the two groups suggest that uninsured individuals can achieve similar treatment success when access to care is provided, and after accounting for demographic, social, and clinical differences. However, the longer length of stay in hospitalized SOR grant-funded patients highlights more complex health and social challenges that require additional support beyond what the SOR grant covers. These findings underscore the need to sustain and expand funding mechanisms like the SOR grant while broadening insurance coverage to address disparities in addiction care, particularly in Medicaid non-expansion states.

Indexed as

Insurance, HealthMedicaidMedically UninsuredOpiate Substitution TreatmentOpioid-Related DisordersAdultFemaleFinancing, GovernmentHumansMaleMiddle AgedRetrospective StudiesUnited StatesBuprenorphineHealthcare disparitiesHealth insuranceHealth services accessibilityMedicaidOpioid-related disorders

Identifiers

PMID41554459
PMCPMC13210401

What OpenQuestion holds

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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.