Commentary on Krawczyk <i>et al</i>. (2020): Reinforcing the case for evidence‐based treatment of opioid use disorder
Notice bibliographique
Résumé
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.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».