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Enregistrement W2331081196 · doi:10.36076/ppj.2012/15/es191

Prescription Opioid Related Misuse, Harms,Diversion and Interventions in Canada: A Review

2012· review· en· W2331081196 sur OpenAlex

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Notice bibliographique

RevuePain Physician · 2012
Typereview
Langueen
DomaineMedicine
ThématiqueOpioid Use Disorder Treatment
Établissements canadiensSimon Fraser UniversityCentre for Addiction and Mental Health
Organismes subventionnairesCanadian Institutes of Health ResearchPublic Health Agency of Canada
Mots-clésMedicinePsychological interventionMedical prescriptionOpioidPrescription Drug MisuseMEDLINEFamily medicineIntensive care medicinePsychiatryOpioid use disorderPharmacologyInternal medicine

Résumé

récupéré en direct d'OpenAlex

BACKGROUND: The non-medical use of and harms related to prescription opioid (PO) analgesics - key medications to treat severe and chronic pain - are an emerging public health concern globally. PO use is proportionally highest in North America, where, consequently, nonmedical PO use (NMPOU) and morbidity/mortality are high and well documented for the United States. Canada is the country with the second highest PO consumption rate in the world - with steeper recent increases in PO use than the US - mainly driven by substantial increases in the use of strong opioids (e.g., oxycodone). Indications and select data of NMPOU and PO-related morbidity and mortality have emerged in recent years, yet a systematic and comprehensive collection of relevant data to characterize the phenomenon in Canada does not exist. OBJECTIVES: This paper comprehensively reviews the available data in Canada regarding NMPOU, and PO-related harms, diversion, and interventions, and discusses implications for interventions and policy. STUDY DESIGN: Narrative literature/data review. SETTING: Canada. METHODS: Publicly available data and information - either from journal publications, "grey literature" (e.g., government/technical reports) or Web sites reporting relevant data on Canada - were searched and narratively reviewed. RESULTS: Indicators on NMPOU and PO-related harms in Canada are highly fragmented, and not nearly as systematic and comprehensive as they are in the US; virtually no national statistics/data are collected. Available -largely provincial/local - data indicate that PO misuse is increasingly common in key populations, including general adult and student populations, street-drug users, First Nations/Aboriginal Peoples, and correctional populations. Co-morbidities - e.g., pain, mental health problems, polysubstance use - among people reporting NMPOU appear to be high. Substance use treatment admissions for those with problematic PO use have risen substantially where reported. Opioid-related mortality (and oxycodone-related mortality, specifically) have increased considerably in Ontario where relevant data from the mid-1990s onward have been examined. In Canadian populations reporting NMPOU, sourcing of POs occurs through various diversion routes, including from family/friends, "double-doctoring," or street drug markets. In addition, losses and theft/robberies from pharmacies and licensed medications dealers appear to be on the rise. Finally, interventions (i.e., provincial PO guidelines, prescription monitoring programs, substance use treatment services) are fragmented and inconsistently applied throughout the country, and currently fail to effectively address the growing problem of NMPOU and PO-related harms across Canada. LIMITATIONS: This review did not rely on systematic review methodologies. CONCLUSION: Corresponding to its increasing and high overall PO consumption levels, NMPOU and PO-related harms in Canada are high based on available data, and likely now constitute the third highest level of substance use burden of disease (after alcohol and tobacco). The data and monitoring situation in Canada regarding NMPOU and PO-related harms are fragmented, un-systematic, and insufficient. While major and concerted policy initiatives - primarily from the federal level - are absent to date, these urgently require vastly improved national data indicators and monitoring in order to allow for and evaluate evidence-based interventions on this urgent and extensive public health problem.

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.

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)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Autre devis · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,822
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0020,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,051
Tête enseignante GPT0,319
Écart entre enseignants0,268 · 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