Evidence map›Paper›PMID 41567936›Full record

ArticleDrug and alcohol dependence reports2026

Rurality weakens the positive association between the COVID-19 pandemic and substance use treatment involving medications for opioid use disorder.

Ryan J Lofaro, Leanne M Confer, Robert M Bohler, Jessica S Schwind

Abstract read
In one paragraph

Article in Drug and alcohol dependence reports, 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.

Ryan J LofaroDepartment of Public and Nonprofit Studies at Georgia Southern University, United States.
Leanne M ConferDepartment of Criminal Justice and Criminology at Georgia Southern University, United States.
Robert M BohlerJiann-Ping Hsu College of Public Health at Georgia Southern University, United States.
Jessica S SchwindInstitute for Health Logistics & Analytics at Georgia Southern University, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: During the COVID-19 pandemic, policies and practices were adopted to increase access to medications for opioid use disorder (MOUD), an evidence-based treatment that has lower utilization rates in rural areas compared to urban regions. However, limited attention has been given to rural-urban differences in MOUD use associated with pandemic policy and practice changes. We examine associations between the pandemic, rurality, and MOUD use in residential and outpatient treatment programs in the United States. Methods: Using 2018-2022 Treatment Episode Data Set Admissions (TEDS-A) data from residential short-term (RST), residential long-term (RLT), and outpatient treatment centers, we explored bivariate associations between MOUD as part of a treatment plan as the outcome variable and rurality and the pandemic as key independent variables. We then employed logistic regression, adjusting for multiple factors to analyze base and moderation models. Results: Findings indicated MOUD use increased across all treatment modalities in the post-COVID period with the strongest association in RLT treatment (OR = 2.298). In all treatment modalities, rurality reduced the strength of the positive relationship between the pandemic and MOUD use (interaction term ORs ranged from .441 to .91). Rural areas experienced a sharp drop in MOUD use from 2021 to 2022 in RLT and outpatient treatment. Conclusions: Gains in the use of MOUD post-pandemic appeared short-lived in rural areas, ultimately widening urban-rural disparities. Providers, policymakers, and other stakeholders should work together to sustain policies and practices that promote MOUD, particularly in rural areas.

Indexed as

COVID-19Medications for opioid use disorder (MOUD)Opioid use disorder (OUD)RuralityTreatment admissionsTreatment episode data set

Identifiers

PMID41567936
PMCPMC12818227

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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.