Commentary on Kurdyak <i>et al</i>. (2012): Methadone and other opioids – need for coordinated prescribing
Notice bibliographique
Résumé
Drug epidemics change over time, and the important relationship between supply and harm is well recognized 1, 2. Abuse of pharmaceutical opioids is not new, but increased supply of a greater number of formulations has resulted in increasing problems within an ‘opioid-rich’ environment 3 similar to trends in obesity prevalence in ‘obesogenic’ environments. Several studies relate increased prescription opioid availability to increasing misuse 4, medical emergencies 5, poisoning death 6 and poisoning of children 7. Per capita global pharmaceutical opioid consumption has more than tripled in the last 12 years, and the United States and Canada now consume 60% of global morphine and 87% of global oxycodone supply between them 8. These countries are now well-advanced into an epidemic involving misuse of prescription opioids that shows no sign of abating 9, with other high-income 10, 11 and low-income countries 12 also affected. In this issue of Addiction, Kurdyak and colleagues describe the provision of prescription opioids to people during methadone maintenance treatment (MMT), often by prescribers and pharmacies not involved in their MMT 13 who may have been unaware of their MMT status. This raises a number of important questions about whether these were opioids sought and prescribed for the treatment of pain, treatment for opioid dependence because of subtherapeutic methadone dosing or as a source of income from on-selling to the ‘street market’. Further, it is unknown whether all prescribers were aware of each others' prescribing; for example, either by direct communication or awareness from urine drug screening to identify ‘unsanctioned’ opioid use. It remains a medical duty of care to protect vulnerable opioid-dependent individuals potentially at risk of poisoning deaths, and this principle should override individual patient privacy concerns when providing addictive and potentially dangerous drugs. In many countries, patient privacy is protected by legislation and safeguards which recognize the primacy of this duty of care to prevent disease and death. Also of concern is the high proportion of patients using short-acting combination products, many of which probably contain paracetamol/acetaminophen. Opioid-tolerant patients may require higher opioid analgesic doses, thereby increasing exposure to paracetamol with risk of paracetamol hepatotoxicity. The patient population eligibility criteria for social assistance in this study also suggests a greater risk because of the association between low socio-economic status and opioid poisoning death 14. There is also concern because the primary drugs of concern for patients seeking MMT for opioid dependence are increasingly prescription opioids, rather than heroin, and the unsanctioned use of sedating drugs such as opioids jeopardizes the safety of MMTs by contributing to combined drug toxicity causing many methadone-related deaths. Despite their limitations, existing systems designed to oversee subsidized drug supply can identify individuals at high risk of opioid-related death 15. A Washington State study identified that Medicaid patients experience a 5.7-fold greater risk of prescription opioid drug overdoses than the non-Medicaid population, and a subgroup of individuals with a high prevalence of misuse of prescription opioids experienced a 92.6-fold greater risk 14. A system that provided information about all supply of drugs of concern, whether cost was subsidized or not, would be considerably more effective in identifying individuals at risk of opioid-related death, and enable the development of countermeasures to prevent these. Poor coordination of care is a key risk factor for medication error in general medical care 16, but poorly coordinated supply of prescription opioids is a particular concern, given the escalating number of poisoning deaths involving these drugs. Current prescription monitoring programs provide historical information only to regulatory authorities, and in some cases to prescribers and pharmacists, about an individual's medication supply, but there is limited evidence of their effectiveness in preventing opioid-related deaths 17. Kurdyak and colleagues suggest that real-time information about the supply of all drugs of abuse may be needed; such could enable prescribers to make informed decisions about the safety of supply prior to prescribing, i.e. a fourth-generation coordinated medication management system (CMMS) 18. This could function similar to clinical decision support systems in general medical care designed to inform patient care decisions, prevent medical errors and improve patient safety and coordinate medical treatment 19. It is evident that much more needs to be done to improve the safety of supply and use of misused prescription drugs while maintaining availability for treatment of pain and other disabling conditions. This complex new category of substance misuse requires a comprehensive strategic response, including redesign of treatment services to attract and retain this new and often different cohort of dependent people into treatment. Finally, the iatrogenic nature of this new epidemic focuses attention on the need to understand and respond to those factors enabling the inappropriate supply or diversion of prescription opioids from licit to illicit use and to provide training and resources, such as a CMMS, to enhance the safe, coordinated supply of dangerous medicines. Dr McDonough in the past, has provided medical consultancy services to Reckitt-Benckiser regarding buprenorphine.
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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) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| 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 ».