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Enregistrement W2755904887 · doi:10.1111/add.13961

The lessons learned from the fentanyl overdose crises in British Columbia, Canada

2017· letter· en· W2755904887 sur OpenAlexafffundabout
Erica Thomson, Hugh Lampkin, Russ Maynard, Mohammad Karamouzian, Ehsan Jozaghi

Notice bibliographique

RevueAddiction · 2017
Typeletter
Langueen
DomaineMedicine
ThématiqueOpioid Use Disorder Treatment
Établissements canadiensBritish Columbia Centre on Substance UseUniversity of British Columbia HospitalBC Centre for Disease ControlUniversity of British ColumbiaCentre for Drug Research and DevelopmentPHS Community Services SocietyPositive Living Society of British ColumbiaAbbotsford Veterinary ClinicUniversity of the Fraser Valley
Organismes subventionnairesCanadian Institutes of Health Research
Mots-clésHarm reductionHeroinLaw enforcementPublic healthOpioid overdose(+)-NaloxoneGovernment (linguistics)MedicineEnvironmental healthPublic administrationPolitical sciencePsychiatryLawNursingDrugOpioid

Résumé

récupéré en direct d'OpenAlex

Sir: In 2016, more than 900 people in British Columbia (BC), Canada, lost their lives due to unintentional drug overdoses, attributed mainly to illegal drugs mixed with ultrapotent opioids, such as fentanyl groups, which marked an 80% increase compared to the previous year 1, 2. Since 2016, the health authorities and various levels of government in BC have worked together on implementing different methods to control the epidemic 3-7. There have been some important strategies used in the city of Vancouver which, in our opinion, have been novel in their approach. These strategies included a multi-sectoral approach that involved drug-user community engagement by increasing accessibility, distribution and training in the use of naloxone in addition to early public health crisis declarations, law enforcement engagement, establishment of overdose prevention sites and health-care policy shifts 8, 9. In addition to operating the only legally sanctioned supervised injection facility in North America, Vancouver has benefited from numerous community harm reduction consumption facilities that previous research has shown to have clear benefits 8-12. Moreover, the harm reduction program in Vancouver has focused on utilizing peer drug user networks 12-14 which has proved to be extremely effective in reducing mortality rates in Vancouver 15-17. Vancouver is also the only city in North America that has been implementing heroin-assisted treatment 18. Despite the relative success in controlling the epidemic in Vancouver, the overdose crisis continues to take lives. This could be due to the direct link between the epidemic and the stigmatization and demonization of substance use disorders; a chronic–relapsing medical condition that has traditionally received harsh criticism through its criminalization and massive drug-related incarcerations, rather than supportive health-care evidence-based models. The current drug policies that affect men and women unequally are comparable to the ‘discourse of disposal’, a social milieu for ‘getting rid’ of certain segments of society (reflected in policy), such as homosexuals and sex workers 19. These unjust drug policies are also reinforced by perceived devaluation and discrimination associated with substance use disorders. In our opinion, there is no straight path forward; however, acknowledging the complexities of relapsing nature of addiction as a chronic illness and working with the reality that some people are not willing or ready to stop using drugs is certainly a good start. To many members of the community, including the physicians and researchers, the legalization and regulation of illegal drugs seem to be the only sustainable fix to the acute and potent action of fentanyl, as more than 60% of illegal drug-related deaths occurred in private rooms in 2016 4. In the meantime, governments need to expand evidence-based harm reduction programs, including peer-run supervised consumption facilities, opioid agonist substitution treatment, full cost coverage for the naloxone kit and other evidence-based primary care models that include supportive housing and peer-harm reduction engagements. The current epidemic can be addressed only if key harm reduction players such as people with lived experiences, physicians, nurses, social workers, law enforcements, academics and government officials work together collaboratively. The views expressed by E.J. in this letter are those of the authors, and they may not necessarily express the views of the Canadian Institutes of Health Research (CIHR) or the BC Centre for Disease Control. We would like to thank the Vancouver Area Network of Drug Users’ (VANDU) board members for reading and approving the earlier draft of this letter. Moreover, we would like to thank Dr Jane A. Buxton for providing feedback on this letter. The contribution by E.J. was supported by the Canadian Institutes of Health Research (CIHR) Postdoctoral Fellowship (201511MFE-358449-223266). The contribution by M.K. was supported by the Vanier Canada Graduate Scholarship.

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)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
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 enseignants0,322
Score d'incertitude au seuil0,689

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
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 Opus0,028
Tête enseignante GPT0,270
Écart entre enseignants0,242 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
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

Citations23
Publié2017
Routes d'admission3
Résumé présentoui

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