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Enregistrement W2933885663 · doi:10.1016/s2468-2667(19)30040-4

Canada's overdose crisis: authorities are not acting fast enough

2019· letter· en· W2933885663 sur OpenAlexaffabout
Gillian Kolla, Zoë Dodd, Jen Ko, Nick Boyce, Sarah Ovens

Notice bibliographique

RevueThe Lancet Public Health · 2019
Typeletter
Langueen
DomaineMedicine
ThématiqueOpioid Use Disorder Treatment
Établissements canadiensMultiple Sclerosis Society of CanadaManitoba Harm Reduction NetworkRegent Park Community Health CentrePublic Health OntarioUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésPublic healthOpioid overdoseMedicineDrug overdoseGovernment (linguistics)Harm reductionEnvironmental healthMedical emergencyPoison controlNursing(+)-NaloxoneOpioid

Résumé

récupéré en direct d'OpenAlex

We appreciate the lessons outlined by Benedikt Fischer and colleagues1Fischer B Pang M Tyndall M The opioid death crisis in Canada: crucial lessons for public health.Lancet Public Health. 2019; 4: e81-e82Summary Full Text Full Text PDF PubMed Scopus (64) Google Scholar in their Comment on the opioid overdose crisis in Canada. From the frontline perspective, working at an overdose prevention site at the epicentre of the overdose crisis in Canada's largest city, our major lesson is that all levels of government are not acting fast enough, and that the stigma against and criminalisation of people who use drugs are impeding the public health response. In August, 2017, volunteers with the Toronto Overdose Prevention Society opened the Moss Park Overdose Prevention Site—an unsanctioned (without official approval) overdose prevention site in tents in a downtown park—in response to the slow and ineffectual response to more than a decade of rising overdose rates. At that point, not a single overdose prevention site or supervised-consumption service had opened in Ontario, Canada's largest province. In 11 months of operation, Moss Park Overdose Prevention Site supervised 9062 injections, intervened in 251 overdoses, and helped to develop a framework for implementing authorised overdose prevention sites across the province. By July, 2018, Moss Park Overdose Prevention Site was given legal exemption to operate, and was funded along with 20 other sites across Ontario. A change in government has left these sites under renewed threat. Additionally, only four provinces (out of the 13 provinces and territories in Canada) have implemented overdose prevention sites or supervised-consumption services. It is unacceptable that an essential health service is subject to political whims, and is not available equally across the country. While overdose prevention sites and supervised-consumption services are life saving, these facilities do not address the root cause of the current overdose crisis: an increasingly toxic illicit drug supply that is killing 11 Canadians per day.2Special Advisory Committee on the Epidemic of Opioid OverdosesNational report: apparent opioid-related deaths in Canada (January 2016 to June 2018). Public Health Agency of Canada.https://infobase.phac-aspc.gc.ca/datalab/national-surveillance-opioid-mortality.htmlDate: December, 2018Date accessed: February 23, 2019Google Scholar January, 2019, saw a rise in overdoses and atypical adverse reactions. That month, Moss Park Overdose Prevention Site had 2050 visits and intervened in 90 overdoses, an increase from the 26 overdoses treated in December 2018. Testing of a sample of so-called purple fentanyl, responsible for several atypical overdoses, found it contained a dangerous mix of substances, including several fentanyl analogues, various stimulants, and a novel synthetic cannabinoid, AMB-FUBINACA. Safer supply programmes provide alternatives to the illicit drug supply. Despite strong evidence for heroin-assisted treatment,3Ferri M Davoli M Perucci CA Heroin maintenance for chronic heroin dependents.Cochrane Database Syst Rev. 2005; 2 (CD003410.)Crossref Google Scholar and Canadian innovations in injectable opioid agonist treatment,4Oviedo-Joekes E Guh D Brissette S et al.Hydromorphone compared with diacetylmorphine for long-term opioid dependence.JAMA Psychiatry. 2016; 73: 447-479Crossref PubMed Scopus (116) Google Scholar scale-up remains slow. New pilot interventions to divert people from the toxic illicit drug supply continue to be notable exceptions.5Woo A Vancouver to offer opioid pills in latest effort to prevent overdose deaths. The Globe and Mail.https://www.theglobeandmail.com/canada/british-columbia/article-with-opioid-pill-programs-vancouver-inches-toward-addressing-safe/Date: Dec 28, 2018Date accessed: February 23, 2019Google Scholar From the front lines, the reticence of authorities to immediately scale up these critical public health interventions across the entire country—and concurrently explore options and models of decriminalisation and regulation—seems negligent and will result in continued preventable deaths. We declare no competing interests. The opioid death crisis in Canada: crucial lessons for public healthA chief coroner investigation in British Columbia, Canada, identified an “inordinately high number” of drug-related deaths related to a “very real and very serious” drug problem, and recommended unconventional measures to reduce mortality.1 This occurred 25 years ago, in 1993, the number of drug-related deaths in British Columbia peaked at 330.1 Today, the epidemic of primarily opioid-related deaths in Canada is far worse than it was a quarter of a century ago. In 2017, there were 1473 drug-related deaths in British Columbia and 3996 in Canada in total—an increase of more than 400% from 1993—and these deaths now account for substantially greater mortality than motor-vehicle accidents and other leading causes of premature deaths. Full-Text PDF Open Access

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)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,508
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,003
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 Opus0,077
Tête enseignante GPT0,317
Écart entre enseignants0,240 · 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
GenreCommentaire

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

En bref

Citations22
Publié2019
Routes d'admission2
Résumé présentoui

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