Evidence map›Paper›PMID 34873783›Full record

ArticleAddiction (Abingdon, England)2022

The estimated impact of state-level support for expanded delivery of substance use disorder treatment during the COVID-19 pandemic.

Elizabeth D Nesoff, Megan E Marziali, Silvia S Martins

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Review
  3. The Digital Divide and Tele-MOUD: A Qualitative Study of Opioid Community Coalition Perspectives During COVID-19.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2025
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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

3 authors.

Elizabeth D NesoffDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.ORCID 0000-0001-8562-8646
Megan E MarzialiDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA.ORCID 0000-0002-8845-663X
Silvia S MartinsDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA.ORCID 0000-0003-3059-9993

Funding

Substance Abuse Epidemiology Training Program (SAETP) at Columbia UniversityT32DA031099 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DEBORAH S HASIN, Silvia Saboia Martins · 2012 to 2026
$6.1M
Examining the Synergistic Effects of Cannabis and Prescription Opioid Policies on Chronic Pain, Opioid Prescribing, and Opioid OverdoseR01DA045872 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CERDA, MAGDALENA, MARTINS, SILVIA SABOIA · 2019 to 2023
$4.3M
State medical marijuana laws and NSDUH marijuana use and consequences since 2004R01DA037866 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MARTINS, SILVIA SABOIA · 2014 to 2018
$2.3M
Neighborhoods, Mental Health, and the Prevention of Opioid Overdose: A Mixed Methods ApproachK01DA049900 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI NESOFF, ELIZABETH · 2020 to 2024
$851k
NIDA NIH HHS K01 DA049900NIDA NIH HHS R01 DA037866NIDA NIH HHS R01 DA045872NIDA NIH HHS T32 DA031099
6 · The paper itself

Abstract

BACKGROUND AND

aimsTo prevent COVID-19 transmission, some United States (US) federal regulations on substance use disorder (SUD) treatment were suspended in March 2020. This study aimed to quantify the extent of state-level policy uptake and the potential number of people with SUD affected by these policy changes across the US, as well as to assess if policy uptake correlated with rates of people with SUD already in treatment or needing treatment.

designCross-sectional analysis of policies implemented as of April 13, 2020. SETTING AND

participantsA total of 50 US states and the District of Columbia MEASUREMENTS: State-level implementation of: oral schedule II controlled substances emergency prescription, extended take-home doses for medication for opioid use disorders (MOUD), home-delivery of take-home medications, telemedicine for schedule II-IV prescriptions, telemedicine for buprenorphine prescribing initiation, and waiver of out-of-state Drug Enforcement Administration (DEA) registration. Rates per 100 000 population of: adults in treatment for SUD, MOUD treatment at facilities with opioid treatment programs, SUD based on Diagnostic and Statistical Manual of Mental Disorders (DSM)-IV criteria, and needing, but not receiving treatment.

findingsHalf of the states (n = 24) enacted no policies, leaving ~460 955 people in treatment and 114 370 people on MOUD pre-pandemic uncovered by any policy expansion. Only telemedicine for buprenorphine initiation was marginally associated with pre-pandemic rate of SUD treatment (OR = 1.003, 95% CI = [1.001, 1.006]) and rate of MOUD therapy (OR = 1.006, 95% CI = [1.002, 1.011]) in univariable analysis, but these associations were no longer significant when controlling for state-level demographics. No policies were associated with state-wide SUD prevalence or rate of unmet treatment need (P > 0.05).

conclusionsTwenty-four United States states did not implement at least one federal policy for substance use disorder treatment expansion as of April 2020, leaving approximately half a million people in treatment pre-pandemic potentially without access to treatment or risking exposure to COVID-19 to continue in-person therapies.

Indexed as

BuprenorphineCOVID-19Opioid-Related DisordersCross-Sectional StudiesHumansOpiate Substitution TreatmentPandemicsPharmaceutical PreparationsUnited StatesBuprenorphinePharmaceutical PreparationsCOVID-19medication for opioid use disorderspolicysubstance use disordersubstance use treatmentunmet treatment need

Identifiers

PMID34873783
PMCPMC9081157

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.