Evidence map›Paper›PMID 42464513›Full record

ArticleAutism research : official journal of the International Society for Autism Research2026

Substance Use Disorder Outcomes and Treatment by Autism Status in Medicaid Enrollees With Substance Use Disorder.

Victor Lushin, Lindsay Shea, Jonas Ventimiglia, Ming Xie, Steven Marcus

Abstract read
In one paragraph

Article in Autism research : official journal of the International Society for Autism Research, 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

5 authors.

Victor LushinNational Institutes of Health, Bethesda, Maryland, USA.ORCID https://orcid.org/0000-0003-4225-9742
Lindsay SheaDrexel Autism Institute, Drexel University, Philadelphia, Pennsylvania, USA.
Jonas VentimigliaDrexel Autism Institute, Drexel University, Philadelphia, Pennsylvania, USA.
Ming XieCenter for Mental Health, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvaniav, USA.
Steven MarcusCenter for Mental Health, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvaniav, USA.

Funding

Social Determinants of SUD Treatment Outcomes in a Vulnerable PopulationR21DA055229 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI LUSHIN, VICTOR · 2022 to 2023
$530k
Intramural NIH HHS Z99 MH999999NIDA NIH HHS R21 DA055229NIH HHS R21 DA055229-02
6 · The paper itself

Abstract

The prevalence of substance use disorders (SUD) among autistic people is substantial and growing. This unaddressed public health challenge is particularly important given the lack of knowledge about SUD service needs among people on the spectrum. This paper presents the first national-level study of SUD-related clinical outcomes and service use among US-based autistic Medicaid enrollees with SUD (N = 50,487) compared to matched neurotypical enrollees with SUD (N = 151,461). The analyses reveal that overdose, hospitalizations, and some polysubstance use risks are elevated among autistic people with SUD compared to neurotypical SUD patients. Analyses also suggest that autistic people with SUD use fewer SUD services compared to their neurotypical counterparts. Results highlight the need for integrative, evidence-based autism-tailored SUD service solutions.

Indexed as

Autistic DisorderMedicaidSubstance-Related DisordersAdolescentAdultChildFemaleHospitalizationHumansMalePrevalenceTreatment OutcomeUnited StatesYoung Adultautismhospitalizationoverdosepolysubstance usesubstance use disorders

Identifiers

PMID42464513
PMCPMC13471835

What OpenQuestion holds

Textmetadata
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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.