Evidence map›Paper›PMID 42642705›Full record

ArticleJournal of general internal medicine2026

Receipt of Pharmacotherapy and Association with Healthcare Utilization Among US Adults with Alcohol or Opioid Use Disorder, 2022-2023.

Daniel X Pham, Sneha Nagavally, Laura C Hawks

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Daniel X PhamDivision of General Internal Medicine, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.
Sneha NagavallyDivision of General Internal Medicine, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.
Laura C HawksDivision of General Internal Medicine, Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA. lhawks@mcw.edu.ORCID http://orcid.org/0000-0001-6380-1356

Funding

The Role of Structural Racism on Disparities in Clinical Outcomes for Diabetes: A Mixed Methods StudyR01DK135838 · NIDDK · MEDICAL COLLEGE OF WISCONSIN · PI Joni Strom Williams · 2023 to 2026
$2.7M
MANAGe-DM: novel nurse case management to improve diabetes outcomes in Black men recently released from incarcerationK23DK132505 · NIDDK · MEDICAL COLLEGE OF WISCONSIN · PI Laura C. Hawks · 2023 to 2026
$714k
NIDDK NIH HHS 1K23DK132505NIDDK NIH HHS 5R01DK135838NIDDK NIH HHS K23 DK132505NIDDK NIH HHS R01 DK135838
6 · The paper itself

Abstract

backgroundEvery year, millions of US adults with substance use disorders (SUDs) interface with the healthcare system, with high rates of emergency department (ED) visits and hospitalizations. FDA-approved medications for alcohol (AUD) and opioid use disorder (OUD) have been shown to decrease acute care utilization for addiction-related issues. However, the characteristics of adults who receive these medications and how receipt is associated with healthcare utilization are not well understood. The objective of this study was to characterize US adults with AUD or OUD who received addiction pharmacotherapy and to examine the association between pharmacotherapy receipt and healthcare utilization in a nationally representative cross-sectional sample.

methodsUsing data from the National Survey of Drug Use and Health 2022-2023, we included US adults with AUD or OUD and tested the association between self-reported receipt of pharmacotherapy for SUD and healthcare utilization (ED visits, nights hospitalized, and outpatient visits) using negative binomial regression models adjusted for sociodemographic covariates and medical comorbidities. OUTCOMES: Among US adults with AUD and/or OUD, only 4.8% reported use of medication for addiction treatment in the past 12 months. In adjusted models, receiving pharmacotherapy for substance use was associated with increased number of times treated in the ED (IRR 1.57; 95% CI 1.16, 2.14) increased number of nights hospitalized (IRR 2.79; 95% CI 1.10, 4.87) and increased number of outpatient visits (IRR 1.28; 95% CI 1.02, 1.60).

conclusionIn this nationally representative sample of adults with substance use disorder, few reported receipt of pharmacotherapy for SUD in the past year. Individuals receiving MAUD or MOUD reported higher rates of healthcare utilization. The findings underscore the need to identify best practices in outpatient settings to screen and initiate treatment for individuals with substance use disorders, ideally prior to decompensation requiring a higher level of care.

Identifiers

PMID42642705
PMCPMC13617387

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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.