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Enregistrement W4317685275 · doi:10.1111/add.16124

Clarifying ‘safer supply’ to enrich policy discussions

2023· editorial· en· W4317685275 sur OpenAlexaboutno aff
Beau Kilmer, Bryce Pardo

Notice bibliographique

RevueAddiction · 2023
Typeeditorial
Langueen
DomaineMedicine
ThématiqueOpioid Use Disorder Treatment
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSAFERBuprenorphineCounterfeitHeroinHarm reductionMethadoneBusinessMedicineInternet privacyMarketingDrugOpioidComputer securityPharmacologyPublic healthLawNursingPolitical science

Résumé

récupéré en direct d'OpenAlex

In response to the overdose crisis in the United States and Canada, a debate is emerging about providing a ‘safer supply’ to people who use drugs [1-3]. However, ambiguity about the term muddles discussions and could stifle innovation. There has always been uncertainty about the composition of drugs sold in illegal markets. Today’s street drug mixtures increasingly include illegally manufactured fentanyl and other harmful drug combinations, elevating health risks for people who use drugs (PWUD) [4, 5]. Counterfeit pills containing fentanyl create more confusion and are especially risky to unsuspecting or novice users [5]. While there is emerging interest in increasing access to drug-checking services and supervised consumption sites, there is also a growing debate about providing PWUD with a drug of known composition in lieu of what is sold in illegal markets [1-3], sometimes referred to as ‘safe supply’ or ‘safer supply’. However, these terms are used to describe a diverse set of interventions with different levels of evidence, target populations, outcomes and regulatory involvement. One approach to safer supply involves offering medications to people who use drugs, sometimes for their drug of choice, sometimes for an alternative. There is no consensus about which substances and under what conditions of use constitute safer supply versus more traditional treatments. Is liquid methadone consumed at a clinic a form of safer supply? What about diamorphine (heroin) or pharmaceutical-grade fentanyl? Health Canada distinguishes the goals between opioid agonist treatment (which in Canada includes methadone, buprenorphine and slow-release oral morphine) and safer supply (which includes hydromorphone, fentanyl, other opioids and some stimulants or benzodiazepines), stating: ‘Usually, the goal of traditional [opioid agonist treatment] is for a patient to stop taking drugs… [whereas] safer supply refers to providing prescribed medications as a safer alternative to the toxic illegal drug supply to people who are at high risk of overdose’ [6]. Some medical approaches to safer supply require supervision by a health professional (e.g. supervised injectable heroin treatment [7]), but another approach implemented in parts of Canada expands a range of prescribed substances for PWUD that are ‘provided in a less clinical and more flexible way’ (i.e. with minimal or no supervision) with the goal of preventing overdose from drugs found in the illegal supply [6]. For example, a clinic in Vancouver now allows registered patients to purchase individual doses of pharmaceutical-grade fentanyl that are priced competitively to opioids sold on the street [8]. Some are promoting other safer supply interventions outside the traditional prescription model. One approach that has been proposed is a cooperative purchase-based model of pharmaceutical-grade drugs (e.g. heroin) for members without a prescription to ensure quality and competitive pricing [9]. This model is based on the cannabis compassion clubs or buyers’ clubs that emerged in the 1980s during the HIV/AIDS epidemic. Another approach is for a group to purchase illegal drugs, test them and then re-package and distribute them to PWUD. The Drug User Liberation Front in Vancouver has held at least five events where they have distributed the tested and re-packaged drugs without inciting a crackdown by local law enforcement [10, 11]. In August 2022, it was reported that a ‘Cocaine, Heroin and Methamphetamine Compassion Club and Fulfilment Centre’ had been in operation in Vancouver for a month, although the club was not authorized by the government and the drugs were not sourced from a pharmaceutical company; they were purchased from the dark web, tested and sold at cost [12, 13]. Access to this club is limited to members of the Vancouver Area Network of Drug Users who are at least 19 years old [13]. Beyond the variation in substances, levels of supervision and provision, discussions associating safer supply with drug legalization can create additional ambiguity. For example, in an essay about British Columbia’s safer supply prescription program, one researcher concluded, ‘Hopefully British Columbia's novel approach will gain wider acceptance. If so, it will provide a "real world" lesson that drug prohibition kills and legalization saves lives' [14]. In an example from the media, an essay published by a major news outlet included a subheading which read: ‘Ending the overdose crisis will require full drug legalization—so people can access a safe supply, with accurate information about the dosage’ [15]. A prescription model that limits access to individuals currently using drugs is different from allowing people to test and distribute illegally produced drugs, which is very different from a legalization model that regulates drug sales to any adult. Policy debates about reducing harms posed by the increasingly dangerous drug supply would be more productive if participants recognized and described the particularities of interventions instead of referring to them broadly as safer supply. Such generalities limit nuanced discussions about the available policy options. In Table 1, we offer a framework to facilitate discussions, highlighting four examples of interventions sometimes referred to as safer supply; these options are not necessarily mutually exclusive. We do not include a column for traditional opioid agonist treatment (such as buprenorphine and methadone), which is sometimes ultimately focused upon abstinence, but realize that some people may consider this safer supply. Addressing the ambiguity surrounding safer supply is not simply an academic exercise. We are concerned that conflating prescription models with some of these other approaches—about which we are not offering judgments—could create barriers to piloting and evaluating new interventions, especially in the United States. For example, while there are documented barriers to accessing existing treatments for substance use disorder in the United States, there is also a growing recognition of the need to pilot and evaluate new medication treatments, especially those that are already approved for treating opioid use disorder (OUD) in other countries. After an extensive review of the international evidence for prescribing diamorphine for those with OUD, a RAND report argued for clinical trials in ‘some of the US jurisdictions that already provide a spectrum of social services and good accessibility to medication treatments for OUD’ [17]. The Stanford–Lancet Commission on the North American Opioid Crisis recommended that given the exigency of the overdose crisis, ‘regulatory agencies should increase their willingness to approve drugs on the basis of data from trials done abroad’ [18]. If these efforts become labeled as safer supply and confused with legalization, or conflated with the actions of Purdue Pharma and some other oxycodone producers (e.g. [19]), this could create major political barriers to adoption or deter much-needed research. It is critical that decision-makers innovate, especially when it comes to reducing harms related to drug consumption. Some of these ideas will be controversial, but that does not mean they should not be discussed. Being specific about the intervention, instead of using slogans such as safer supply, could make these conversations more productive. We are grateful to Jon Caulkins, Keith Humphreys, Peter Reuter, Dan Werb, and the anonymous reviewers for their comments on an earlier version. The views presented here only reflect those of the authors. None. Beau Kilmer: Conceptualization; investigation; writing-original draft. Bryce A. Pardo: Conceptualization; investigation; writing-original draft.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,032
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,003

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.

Tête enseignante Opus0,013
Tête enseignante GPT0,318
Écart entre enseignants0,306 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations9
Publié2023
Routes d'admission1
Résumé présentoui

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