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Record W4413920753 · doi:10.1377/hlthaff.2025.00341

Restrictive State Opioid Treatment Program Regulations Constrain Local Access To Methadone Maintenance Treatment

2025· article· en· W4413920753 on OpenAlexaff
J. Travis Donahoe, Noa Krawczyk, Julie M. Donohue, Dylan Nagy, Paul J. Joudrey

Bibliographic record

VenueHealth Affairs · 2025
Typearticle
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsSaint Paul University
FundersNational Institute on Drug Abuse
KeywordsMethadone maintenanceMethadoneOpioidOpioid use disorderState (computer science)BusinessMedicinePsychiatryComputer science

Abstract

fetched live from OpenAlex

State regulations governing opioid treatment programs (OTPs) vary widely in their restrictiveness, but how they affect geographic access to methadone maintenance treatment for opioid use disorder remains poorly understood. In this study of comprehensive data on methadone shipments to OTPs in 2019, we found that ZIP codes just across the border in states with low restrictiveness in OTP regulations had more than twice the OTP density and methadone shipments compared with nearby and otherwise similar ZIP codes in states with high restrictiveness. These findings suggest that restrictive state OTP regulations constrain geographic access to methadone maintenance treatment and that easing such restrictions is a viable strategy to expand access.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.958
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.385
Teacher spread0.354 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designOther design
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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