Evidence map›Paper›PMID 39097192›Full record

ArticleJournal of substance use and addiction treatment2024

Methadone treatment utilization and overdose trends among Medicaid beneficiaries in New Jersey before and during the COVID-19 pandemic.

James Lloyd, Peter Treitler, Jamey J Lister, Molly Nowels, Stephen Crystal

Abstract read
In one paragraph

Article in Journal of substance use and addiction treatment, 2024. 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

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

5 authors.

James LloydInstitute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, USA. Electronic address: jlloyd@ifh.rutgers.edu.
Peter TreitlerInstitute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, USA; Boston University School of Social Work, Boston, MA, USA.
Jamey J ListerSchool of Social Work, Rutgers University, New Brunswick, NJ, USA.
Molly NowelsInstitute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, USA; Department of Health Behavior, Society, and Policy, Rutgers School of Public Health, Piscataway, NJ, USA.
Stephen CrystalInstitute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, USA; School of Social Work, Rutgers University, New Brunswick, NJ, USA; Department of Health Behavior, Society, and Policy, Rutgers School of Public Health, Piscataway, NJ, USA.

Funding

New Jersey Alliance for Clinical Translational Science: NJ ACTSUL1TR003017 · NCATS · RUTGERS BIOMEDICAL/HEALTH SCIENCES-RBHS · PI PANETTIERI, REYNOLD ALEXANDER · 2019 to 2023
$28.9M
Opioid Overdoses among Medicaid Beneficiaries: Predictors, Outcomes, and State Policy EffectsR01DA047347 · NIDA · RUTGERS, THE STATE UNIV OF N.J. · PI CRYSTAL, STEPHEN · 2019 to 2022
$3.1M
NCATS NIH HHS UL1 TR003017NIDA NIH HHS R01 DA047347
6 · The paper itself

Abstract

introductionThe COVID-19 pandemic disrupted the traditional mode of methadone maintenance treatment (MMT) delivery through the imposition of lockdowns and social distancing measures. In response, policy makers granted flexibilities to providers delivering MMT to change their practices to maintain patient participation while accommodating the measures imposed to prevent the spread of COVID-19. This study examines the utilization of MMT and overdoses of patients receiving MMT during the COVID-19 pandemic in one mid-Atlantic state. MATERIALS AND

methodsWe analyzed Medicaid claims data for 2018-2020, calculating weekly trends for starts, discontinuations, and medically-treated overdoses for beneficiaries receiving MMT who had been continuously enrolled in Medicaid for the previous 12 months, to account for changes in the composition of the Medicaid population following the COVID-19 public health emergency (PHE). We completed data analyses from January to June 2022.

resultsWe observed countervailing trends in new starts, which experienced an immediate, non-significant dip of -22.47 per 100,000 Medicaid beneficiaries (95%CI, -50.99 to 6.04) at the outset of the pandemic followed by an increasing upward trend of 1.41 per 100,000 beneficiaries per week (95%CI, 0.37 to 2.46), and in discontinuations, which also experienced an immediate dip of -3.23 per 1000 MMT enrollees (95%CI, -4.49 to -1.97) followed by an increasing upward trend of 0.14 per 1000 MMT enrollees per week (95%CI, 0.09 to 0.19). The net result of these shifts was a stable, slowly increasing rate of MMT treatment of 0.02 % per week before and after the PHE. We also found no statistically significant association of the PHE with medically-treated overdoses among beneficiaries enrolled in MMT (trend change = 0.02 overdoses per 10,000 MMT enrollees, 95%CI, -0.05 to 0.09).

conclusionsNew Jersey achieved overall stability in MMT treatment prevalence following the pandemic's onset, while some changes in treatment dynamics took place. This outcome may reflect that the extensive flexibilities granted to providers of MMT by the state and federal government successfully maintained access to MMT for Medicaid beneficiaries through the pandemic without increasing risk of medically-treated overdose. These findings should inform policy makers developing the post-COVID-19 legal and regulatory landscape.

Indexed as

COVID-19Drug OverdoseMedicaidMethadoneOpiate Substitution TreatmentAdultAnalgesics, OpioidFemaleHumansMaleMiddle AgedNew JerseyOpioid-Related DisordersPandemicsUnited StatesYoung AdultAnalgesics, OpioidMethadoneCOVID-19MethadoneMethadone maintenance treatmentNew JerseyOpioid treatment programOpioid use disorderOverdosePolicy

Identifiers

PMID39097192
PMCPMC12110492

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.