Evidence map›Paper›PMID 40012102›Full record

ArticleAddiction (Abingdon, England)2025

State sequence analysis of daily methadone dispensing trajectories among individuals at United States opioid treatment programs before and following COVID-19 onset.

Ignacio Bórquez, Arthur R Williams, Mei-Chen Hu, Marc Scott, Maureen T Stewart, Lexa Harpel, Nicole Aydinoglo, Magdalena Cerdá, John Rotrosen, Edward V Nunes and 1 more

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Developing and validating measures of take-home methadone with administrative data.Journal of substance use and addiction treatment · 2026
    Article
  3. Article
  4. Article
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

11 authors.

Ignacio BórquezCenter for Opioid Epidemiology and Policy (COEP), Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA.ORCID https://orcid.org/0000-0002-3746-578X
Arthur R WilliamsNew York State Psychiatric Institute, New York, NY, USA.ORCID https://orcid.org/0000-0002-7380-6203
Mei-Chen HuNew York State Psychiatric Institute, New York, NY, USA.
Marc ScottDepartment of Applied Statistics, Social Science and Humanities, New York University, New York, NY, USA.
Maureen T StewartInstitute for Behavioral Health, The Heller School for Social Policy and Management, Brandeis University, Waltham, MA, USA.
Lexa HarpelNew York State Psychiatric Institute, New York, NY, USA.
Nicole AydinogloNew York State Psychiatric Institute, New York, NY, USA.
Magdalena CerdáCenter for Opioid Epidemiology and Policy (COEP), Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA.ORCID https://orcid.org/0000-0001-8441-7046
John RotrosenCenter for Opioid Epidemiology and Policy (COEP), Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Edward V NunesNew York State Psychiatric Institute, New York, NY, USA.ORCID https://orcid.org/0000-0002-2055-3425
Noa KrawczykCenter for Opioid Epidemiology and Policy (COEP), Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA.ORCID https://orcid.org/0000-0002-7396-3938

Funding

Project-003UG1DA013035 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Aimee N Campbell, Jennifer McNeely · 2015 to 2026
$130.3M
Research Support CoreP30DA035772 · NIDA · BRANDEIS UNIVERSITY · PI Haiden A Huskamp, SHARON REIF · 2015 to 2026
$11.3M
Beyond Treatment Initiation: Enhancing Opioid Use Disorder Care Transitions Across Health System TouchpointsK01DA055758 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Noa Krawczyk · 2023 to 2026
$722k
NIDA NIH HHS K01 DA055758NIDA NIH HHS K01DA055758NIDA NIH HHS P30 DA035772NIDA NIH HHS UG1 DA013035NIDA NIH HHS UG1DA013035-20
6 · The paper itself

Abstract

BACKGROUND AND

aimsUS regulatory changes allowed for additional methadone take-home doses following COVID-19 onset. How dispensing practices changed and which factors drove variation remains unexplored. We determined daily methadone dispensing trajectories over six months before and after regulatory changes due to COVID-19 using state sequence analysis and explored correlates.

designRetrospective chart review of electronic health records. SETTINGS: Nine opioid treatment programs (OTPs) across nine US states.

participantsAdults initiating treatment in 2019 (n = 328) vs. initiating 1 month after the COVID-19 regulatory changes of March 2020 (n = 376). MEASUREMENTS: Type of daily methadone medication encounter (in-clinic, weekend/holiday take-home, take-home, missed dose, discontinued) based on OTP clinic; cohort (pre vs. post-COVID-19); and patient substance use, clinical and sociodemographic characteristics.

findingsFollowing COVID-19 regulatory changes, allotted methadone take-home doses increased from 3.5% to 13.8% of total person-days in treatment within the first 6 months in care. Clinic site accounted for the greatest variation in methadone dispensing (6.2% and 9.5% of the variation of discrepancy between sequences pre- and post-COVID-19, respectively). People who co-use methamphetamine had a greater increase in take-homes than people who did not use methamphetamine (from 3.7% pre-pandemic to 21.2% post-pandemic vs. 3.5% to 12.5%) and higher discontinuation (average 3.6 vs. 4.7 months among people who did not use methamphetamine pre-COVID-19; average 3.3 vs. 4.6 months post-COVID-19). In the post-COVID-19 cohort, females had a higher proportion of missed doses (17.2% vs. 11.9%) than males. People experiencing houselessness had a higher proportion of missed doses (19% vs. 12.3%) and shorter stays (average 3.5 vs. 4.5 months) when compared with those with stable housing.

conclusionDaily methadone dispensing trajectories in the US both before and following COVID-19 regulatory changes appeared to depend more on the opioid treatment programs' practices than individual patient characteristics or response to treatment.

Indexed as

Analgesics, OpioidCOVID-19MethadoneOpiate Substitution TreatmentOpioid-Related DisordersAdultFemaleHumansMaleMiddle AgedRetrospective StudiesSARS-CoV-2United StatesAnalgesics, OpioidMethadoneCOVID‐19health policylongitudinal analysismethadone maintenanceopioid use disorderstate sequence analysis

Identifiers

PMID40012102
PMCPMC12048216

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.