Evidence map›Paper›PMID 40037106›Full record

ArticleThe International journal on drug policy2025

Drug treatment and support service utilization amidst the COVID-19 pandemic among people who inject drugs in Baltimore, Maryland: An interrupted time-series analysis, 2015-2022.

Eshan U Patel, Jacqueline E Rudolph, Kenneth A Feder, Xianming Zhu, Jacqueline Astemborski, Bryan Lau, Gregory D Kirk, Shruti H Mehta, Becky L Genberg

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Article in The International journal on drug policy, 2025. 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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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Eshan U PatelDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. Electronic address: epatel6@jhmi.edu.
Jacqueline E RudolphDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Kenneth A FederDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Xianming ZhuDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Jacqueline AstemborskiDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Bryan LauDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Gregory D KirkDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Shruti H MehtaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Becky L GenbergDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Funding

Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Anna Palmer Durbin · 2012 to 2026
$67.0M
The AIDS Linked to the Intravenous Experience (ALIVE) StudyU01DA036297 · NIDA · JOHNS HOPKINS UNIVERSITY · PI Gregory D Kirk, Shruti H Mehta · 2014 to 2026
$28.9M
Johns Hopkins HIV Epidemiology and Prevention Sciences Training ProgramT32AI102623 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Shruti H Mehta · 2013 to 2026
$5.3M
When pandemics collide: The intersection of the opioid crisis, COVID-19 and HIV pandemics among people who inject drugs in the United StatesR01DA053136 · NIDA · JOHNS HOPKINS UNIVERSITY · PI GENBERG, BECKY LYNN · 2020 to 2024
$3.2M
Colliding Epidemics During an Opioid Crisis: Impact of the COVID-19 Pandemic on Determinants of HIV and HCV Transmission Among People Who Inject DrugsF31DA054849 · NIDA · JOHNS HOPKINS UNIVERSITY · PI PATEL, ESHAN UDAY · 2021 to 2023
$140k
NIAID NIH HHS P30 AI094189NIAID NIH HHS T32 AI102623NIDA NIH HHS F31 DA054849NIDA NIH HHS R01 DA053136NIDA NIH HHS U01 DA036297NIH HHS 10P30AI094189
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic prompted many structural and social changes including adaptations to drug treatment policies and provision (e.g., take-home methadone flexibilities and telehealth services), but their collective impact on drug treatment use among people who inject drugs in the US remains unclear. This study characterized trends in drug treatment and support service utilization before and during the pandemic among current and former people who inject drugs in Baltimore, Maryland.

methodsAn interrupted time-series analysis was conducted using longitudinal survey data collected between December 2015 and November 2022 among 780 participants in the AIDS Linked to the IntraVenous Experience (ALIVE) study-a community-based cohort of adults who have injected drugs in Baltimore (n = 7036 semi-annual person-visits). Average marginal changes in service utilization were estimated following logistic regression with generalized estimating equations.

resultsAt participants' first pre-pandemic visit, 46.8 % attended group counseling/support group services, 13.5 % were prescribed buprenorphine, and 38.8% were prescribed methadone. After the onset of the pandemic, there was an immediate reduction in attending group services (-13.4 % [95%CI = -17.8 %, -8.9 %]) and a change in the trajectory of attendance (difference in quarterly percentage point change [QPPC] comparing before vs. during the pandemic = -0.9 % [95 %CI = -1.6 %, -0.1 %]). In contrast, there was a small immediate increase in buprenorphine use (2.3 % [95 %CI = 0.1 %, 4.6 %]) and no change in its trajectory (QPPC difference = -0.1 % [95 %CI = -0.6 %, 0.3 %]) after the pandemic's onset. A declining trajectory in methadone use before the pandemic accelerated during the pandemic, but this change was not statistically significant (QPPC difference = -0.5 % [95 %CI = -1.2 %, 0.2 %]). When prescribed buprenorphine/methadone during the pandemic, 28.8 % reported engagement in telehealth services (50.0 % for buprenorphine; 16.7 % for methadone).

conclusionThere were pandemic-related disruptions in group-based support service utilization. Meanwhile, service adaptations may have blunted the pandemic's impact on buprenorphine and methadone treatment, suggesting adaptive systems have the potential to optimize treatment delivery. Nonetheless, the observed declines in methadone treatment uptake warrant investigation.

Indexed as

COVID-19Patient Acceptance of Health CareSubstance Abuse, IntravenousAdultBaltimoreBuprenorphineFemaleHumansInterrupted Time Series AnalysisLongitudinal StudiesMaleMethadoneMiddle AgedOpiate Substitution TreatmentTelemedicineBuprenorphineMethadoneMedication for opioid use disorderOpioid agonist therapyOpioid use disorderRecoverySelf-help groupsTelemedicine

Identifiers

PMID40037106
PMCPMC11970212

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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.