MétaCan
Menu
Retour à la cohorte
Enregistrement W4319163256 · doi:10.1111/add.16152

Response to Smyth & McCarron: Increases in cannabis‐attributable emergency department visits during different phases of the pre‐ and post‐legalization period are multi‐factorial

2023· letter· en· W4319163256 sur OpenAlexafffundabout
Daniel T. Myran, Michael Pugliese, Peter Tanuseputro, Monica Taljaard

Notice bibliographique

RevueAddiction · 2023
Typeletter
Langueen
DomaineMedicine
ThématiqueCannabis and Cannabinoid Research
Établissements canadiensInstitute for Clinical Evaluative SciencesOttawa HospitalBruyèreUniversity of Ottawa
Organismes subventionnairesCanadian Institutes of Health Research
Mots-clésLegalizationCannabisMedicineEmergency departmentConfidence intervalPublic healthMedical cannabisFamily medicineDemographyPsychiatryNursingSociology

Résumé

récupéré en direct d'OpenAlex

We thank Smyth & McCarron [1] for taking the time to comment on our recent publication [2]. We agree that our paper did not fully discuss the process towards non-medical legalization in Canada for an international audience. To clarify: in the pre-legalization period, there was widespread access to an illicit cannabis market, including retail dispensaries and on-line delivery services [3]. In addition, there was access to medical cannabis, which began in 2001 for individuals with a limited list of health conditions, and was expanded in 2014 for individuals who received authorization from a physician that they would therapeutically benefit from medical cannabis [4]. There are several comments made by Smyth & McCarron that we would like to address. First, they question whether the rapid increase in emergency department (ED) visits during the 2.75-year pre-legalization period used in our study is representative of the longer pre-legalization period in Canada. In Fig. 1, we present visit rates over a longer pre-legalization period beginning in January 2010, which shows that ED visits due to cannabis have indeed been rapidly increasing over time for at least 8.5 years prior to legalization. There is a modest monthly slope increase (incident rate ratio = 1.008; 95% confidence interval = 1.005–1.011 for adults aged 15+ years) following the public commitment in December 2015 by the federal government to legalize non-medical cannabis. Sustained increases pre-legalization are consistent with prior work where we found that hospitalizations due to cannabis in Ontario began increasing in 2008 [5]. We speculated that this strong pre-legalization trend was multi-factorial, including increasing access to medical and illicit sources, changing stigma towards cannabis use (e.g. individuals become both more likely to use cannabis and more likely to report use of cannabis) and increasing cannabis potency [e.g. tetrahydrocannabinol (THC) concentration] over time [4-6] (Figure 1). Secondly, to clarify, we observed that the first phase of legalization—with strict controls on retail stores and product types (e.g. no legal vapes, edibles or concentrates) was associated with a statistically significant attenuation of the pre-legalization slope of increasing rates of ED visits due to cannabis over time, not a decrease in visits. While this is indicated throughout our paper, we agree that our concluding paragraph could make this clearer and should have the following italicized words added: ‘We found that the trend in cannabis-attributable ED visits decreased relative to the pre-legalization trend following recreational cannabis legalization with strict retail controls’. Thirdly, Smyth & McCarron suggest that the presence of an illicit or gray cannabis market in Canada and changing social norms in the lead-up to legalization reduces the generalizability of these findings to other countries considering legalization. Importantly, illicit cannabis is available in every region of the world, and we believe that a transition period from an illicit to legal market is part of the legalization process [7]. Cannabis use has also become less stigmatized and more socially acceptable around the world, regardless of legal status [8]. The recent experience of other countries proceeding with non-medical legalization, such as Germany, also suggests that policy shifts towards legalization are likely to have similar lead-in periods as in Canada, with potential changes in cannabis-related stigma and drug enforcement [9]. Importantly, while we believe that the Canadian experience regarding legalization will generalize to other countries, we highlight that legalization itself can take multiple forms. Our ongoing research suggests that regulatory decisions such as allowing or restricting cannabis marketing and promotion, retail access, product types and cannabis potency can all influence cannabis use and related health outcomes post-legalization [10-13]. Consequently, as other countries proceed towards legalization, we caution that policies that allow higher levels of commercial access risk important population-level changes in cannabis use and consequent harms. Daniel Myran: Conceptualization; funding acquisition; methodology; formal analysis; investigation; visualization. Michael Pugliese: Data curation; formal analysis; investigation; methodology; software; visualization. Peter Tanuseputro: Conceptualization; funding acquisition; methodology; supervision. Monica Taljaard: Conceptualization; formal analysis; investigation; methodology; supervision; visualization. This study was supported by ICES, which is funded by an annual grant from the Ontario Ministry of Health (MoH) and the Ministry of Long-Term Care (MLTC). This study was also supported by a project grant (452360) from the Canadian Institute for Health Research (CIHR). The analyses, conclusions, opinions and statements expressed herein are solely those of the authors and do not reflect those of the funding or data sources; no endorsement is intended or should be inferred. None.

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)0,001
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: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,677
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
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 Opus0,019
Tête enseignante GPT0,298
Écart entre enseignants0,279 · 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
GenreEmpirique

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

En bref

Citations3
Publié2023
Routes d'admission3
Résumé présentoui

Explorer davantage

Même revueAddictionMême sujetCannabis and Cannabinoid ResearchTravaux en français237 207