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Record W3015307793 · doi:10.1111/add.15045

Commentary on Krawczyk <i>et al</i>. (2020): Reinforcing the case for evidence‐based treatment of opioid use disorder

2020· letter· en· W3015307793 on OpenAlexaffabout
Laura M. Dale, Bohdan Nosyk

Bibliographic record

VenueAddiction · 2020
Typeletter
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsSimon Fraser UniversityAIDS Vancouver
Fundersnot available
KeywordsOpioid use disorderBuprenorphineNaltrexoneMethadoneContext (archaeology)Psychological interventionMedicinePsychiatrySubstance abuseIntervention (counseling)Contingency managementOpiate Substitution TreatmentOpioid

Abstract

fetched live from OpenAlex

Opioid agonist treatment (OAT) for opioid use disorder (OUD) is evidence-based and has several advantages over non-medication treatment approaches, but OAT coverage in the United States remains low. OAT's benefits hold up regardless of the illicit drug supply context, underscoring the urgent need for improved access to this evidence-based intervention in the United States. Although the availability of OAT increased in U.S. treatment facilities from 2007 (20%) to 2016 (36%), levels remain low [4]. The increase was largely attributable to the expansion of buprenorphine/naloxone and extended-release naltrexone in office-based settings [4], whereas methadone has remained strictly regulated. The number of methadone-prescribing facilities in the United States has been relatively constant since 2002, comprising 8% of all substance abuse treatment facilities in 2002 and 10% in 2016 [4, 5]. Other barriers to access persist, including low insurance coverage [6, 7], variable geographic coverage [8], regulatory restrictions [8], and stigma [9], along with political/ideological barriers related to the criminalization of drug use [10]. Limited OAT coverage in the United States indicates a major treatment gap, which has been at least partially filled by non-medication treatments (e.g. detoxification, psychotherapy, education). While some of these approaches may be complementary to OAT (e.g. psychological interventions), there is little evidence suggesting they are effective on their own. [1, 11, 12] There is a need for improved evidence on when, how, and for whom non-medication treatments can benefit people with OUD. More importantly, however, there is a need to rapidly scale up the evidence-based approaches that we already know work [1, 12, 13]. Treatment is about more than reducing drug use; it creates connections to a healthcare system. As Krawczyk and colleagues highlight [1], there is a need to couple treatment with education and harm reduction. From this perspective, OAT confers additional advantages. Compared with non-medication treatments, OAT, being naturally embedded in healthcare and yielding longer retention outcomes, is much better suited as a point of connection. For instance, longer retention means more opportunities to provide naloxone and education on safer injecting; providing treatment in a healthcare setting facilitates connections with primary care and treatment of comorbid medical conditions [14], which are highly prevalent among people with OUD [15]. Given the chronic, recurrent nature of OUD, it is essential to increase opportunities for connection to harm reduction to prevent overdoses and mortality during inevitable periods off treatment. Access to OAT, healthcare, and harm reduction have become even more important in the United States in recent years. Indeed, Krawczyk and colleagues [1] observed an increased risk of overdose death in the periods directly after discontinuing treatment (medication or non-medication). The overall trend is consistent with other literature, [3, 16] however, they observed a larger effect size than that reported internationally, which the authors attributed to the increased potency of the drug supply in Baltimore over the study period. [1] In settings hard hit by fentanyl, access to and retention in OAT has become even more protective than before. In British Columbia, Canada, we recently reported a >2-fold increase in the relative risk of mortality following the introduction of fentanyl to the illicit drug supply; however, this increase was only recorded for individuals off of OAT. We found no change in the risk of mortality for individuals continuously engaged in OAT [13]. Our findings and the findings of Krawczyk et al. highlight that even with changes to the drug supply, OAT remains an essential medication [1, 17]. OAT's effectiveness in promoting long-term retention in care, preventing mortality, and connecting clients to other health services is well-established; the study by Krawczyk et al. [1] adds to growing literature suggesting these benefits persist even in contexts with a highly potent illicit drug supply. Nonetheless, logistical, ideological, and regulatory barriers continue to impede access to this treatment and other essential harm reduction services in the United States. Findings from Krawczyk et al. [1] therefore highlight a treatment gap in the United States and serve as a loud and urgent call for improved access to evidence-based approaches for OUD. No financial or other relevant links to companies with an interest in the topic of this article.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.012
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.038
GPT teacher head0.304
Teacher spread0.266 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations0
Published2020
Admission routes2
Has abstractyes

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