Evidence map›Paper›PMID 37540917›Full record

ArticleThe International journal on drug policy2023

Typology of laws restricting access to methadone treatment in the United States: A latent class analysis.

Anna Conway, Noa Krawczyk, Frances McGaffey, Sheri Doyle, Vanessa Baaklini, Alison D Marshall, Carla Treloar, Corey S Davis, Samantha Colledge-Frisby, Jason Grebely and 1 more

Open access · hybridAbstract read
In one paragraph

Article in The International journal on drug policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
8.7field-weighted citation impact, top 2% of its field
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

21 citing papers in PubMed, 30 citations in OpenAlex.

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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

11 authors at 5 institutions in 2 countries.

Anna ConwayThe Kirby Institute, UNSW, Sydney, Australia; Centre for Social Research in Health, UNSW, Sydney, Australia. Electronic address: a.conway@unsw.edu.au.
Noa KrawczykCenter for Opioid Epidemiology and Policy, Department of Population Health, NYU Grossman School of Medicine, New York, NY, United States.
Frances McGaffeyThe Pew Charitable Trusts, Philadelphia, United States.
Sheri DoyleThe Pew Charitable Trusts, Philadelphia, United States.
Vanessa BaakliniThe Pew Charitable Trusts, Philadelphia, United States.
Alison D MarshallThe Kirby Institute, UNSW, Sydney, Australia; Centre for Social Research in Health, UNSW, Sydney, Australia.
Carla TreloarCentre for Social Research in Health, UNSW, Sydney, Australia.
Corey S DavisCenter for Opioid Epidemiology and Policy, Department of Population Health, NYU Grossman School of Medicine, New York, NY, United States; Network for Public Health Law, Los Angeles, United States.
Samantha Colledge-FrisbyNational Drug Research Institute, Curtin University, Melbourne, Australia; National Drug and Alcohol Research Centre, Burnet Institute, Melbourne, Australia.
Jason GrebelyThe Kirby Institute, UNSW, Sydney, Australia.
Magdalena CerdáCenter for Opioid Epidemiology and Policy, Department of Population Health, NYU Grossman School of Medicine, New York, NY, United States.
UNSW Sydney · AUPew Charitable Trusts · USNew York University · USBurnet Institute · AUNational Health Law Program · US

Funding

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 DA055758
6 · The paper itself

Abstract

backgroundIn the United States, methadone treatment for opioid use disorder is only available at opioid treatment programs (OTPs). In addition to federal regulations, states can enact laws which shape access to OTPs. We aimed to define classes of states according to restrictiveness of state OTP laws and examine population characteristics associated with class membership.

methodsA set of laws was extracted from a database of statutes and regulations governing OTPs in 49 states and the District of Columbia as of June 2021. Latent class analysis of laws was used to estimate the probability of class membership for each state. Class-weighted multinomial logistic regression analysis assessed state-level correlates of class membership and adjusted Relative Risk Ratio (aRRR) and 95% confidence intervals (95%CI) were generated.

resultsStates (n = 50) were assigned to three classes; Class 1) High restrictiveness on patient experience, low restrictiveness on access to service (n = 13); Class 2) Medium restrictiveness on patient experience, high restrictiveness on access to service (n = 14); Class 3) Low restrictiveness on patient experience, low restrictiveness on access to service (n = 23). States with a higher probability of membership in Classes with higher restrictiveness had higher rates of unemployment (Class 1 vs Class 3, aRRR:1.24; 95%CI:1.06-1.45), and Black residents (Class 2 vs Class 3, aRRR:1.10; 95%CI:1.04-1.15), and lower likelihood of Medicaid coverage of methadone (Class 1 vs Class 3, aRRR:0.25; 95%CI:0.07-0.88). States with a higher probability of membership in Classes with higher restrictiveness also had higher rates of potential indicators for opioid use disorder treatment need, including rates of opioid dispensing (Class 1 vs Class 3, aRRR:1.06; 95%CI:1.02-1.10, Class 2 vs Class 3, aRRR:1.07; 95%CI:1.03-1.11) and HIV diagnoses attributed to injection (Class 1 vs Class 3, aRRR:3.92; 95%CI:1.25-12.22).

conclusionsStates with indicators of greater potential need for opioid use disorder treatment have the most restrictions, raising concerns about unmet treatment need.

Indexed as

Analgesics, OpioidOpioid-Related DisordersHumansLatent Class AnalysisMethadoneOpiate Substitution TreatmentUnited StatesAnalgesics, OpioidMethadoneLawMethadoneOpioid agonist treatmentOpioid treatment programUSA

Identifiers

PMID37540917
PMCPMC11790254
OpenAlexW4385506659

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.