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Record W4386208955 · doi:10.1111/add.16322

Commentary on Hall <i>et al</i>.: Evaluating impact of cannabis legalization in Canada—initial outcomes and current trends

2023· letter· en· W4386208955 on OpenAlexaffabout
David Hammond

Bibliographic record

VenueAddiction · 2023
Typeletter
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsLegalizationCannabisMedicineRecreationDecriminalizationEnvironmental healthPublic healthPsychiatryPolitical scienceLaw

Abstract

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Legalization of recreational cannabis in Canada has had mixed effects. The benefits include reductions in illicit activity and billions of dollars in revenue for governments and industry; the challenges include increases in cannabis prevalence, a market-wide shift to higher tetrahydrocannabinol products and increased health-care usage. The coming years will be critical to identify best practices in regulating legal cannabis markets. Federal legalization of ‘recreational’ cannabis in 2018 is one of several notable developments in substance use policy in Canada, which also include provincial-level decriminalization of various substances and ‘safe supply’ of opioids [1]. The Hall et al. paper provides a timely summary of several indicators following cannabis legalization [2]. As the paper notes, adult prevalence of cannabis use increased in 2019 following legalization, with the most recent data indicating stable trends since 2020 [3]. The increases since legalization reinforce Canada's position near the top of global cannabis prevalence: in 2022, cannabis prevalence was 27% in the past 12 months, 19% in the past 30 days and 10% daily use [3]. In contrast to the increases observed among adults, cannabis use among youth has been stable, albeit at high levels [4]. As noted by Hall et al., several indicators of problematic use have also increased since legalization, including hospitalization rates. These increases are probably due to a combination of increased use, greater comfort in seeking health-care services for adverse outcomes from cannabis and the COVID-19 pandemic, during which hospitalizations increased for most substances in Canada [5, 6]. Many of the changes observed since 2018 reflect trends that began prior to legalization [5, 7]. Legal access to medical cannabis in Canada began in 1999 and, by 2018, Canadians had widespread access to a diversity of products, both on-line and from unauthorized storefronts [8-10]. Nevertheless, legalization appears to have accelerated pre-existing trends, particularly with regard to the use of higher tetrahydrocannabinol (THC) extracts such as edibles, vaping products and pre-rolled joints [10, 11]. The legal market has also led to major price decreases: during the first 4 years, the average price of dried flower from legal stores almost halved to approximately $CAD 6/g, with prices as low as $CAD 3/g in many legal stores [12, 13]. Stakeholders have differing perspectives on the ‘effectiveness’ of legal market. Among the general public, support for cannabis legalization has increased and most consumers report positive perceptions of the legal market in terms of convenience, safety and product availability [12, 14]. Most importantly, consumers continue to transition to the legal market: legal sales accounted for between 50 and 75% of the overall market in 2022 and continue to grow [3, 15, 16]. Other stakeholders are less positive, including some Indigenous stakeholders who feel excluded from the legal market [17]. The first 4 years of legalization has also been a volatile period for the cannabis industry due to a combination of overspeculation, oversupply and a saturated retail market that has led to vigorous competition. Legalization is entering a second phase in Canada, in which the focus is shifting from creating a legal retail market to determining best practices for regulating cannabis markets. A mandatory legislative review of the federal Cannabis Act is under way, providing an opportunity to consider regulatory changes [18]. Not surprisingly, the industry is advocating for less regulation, including fewer restrictions on advertising, removing THC limits on edibles and lower excise taxes. The legislative review will need to address the inherent conflict between these commercial interests and the primary objectives of the Cannabis Act with regard to preventing cannabis initiation and protecting public health [19]. Independent evidence will be critical to testing the veracity of industry claims and informing regulatory decisions. Research priorities include more robust estimates of the illicit market and research on the potential consequences of the market-wide shift towards higher THC extracts. Research should also examine provincial differences in cannabis regulations, including in Quebec, which has implemented the most restrictive model in terms of minimum legal age, retail density and prohibition of most edibles and all products above 30% THC. Finally, research should consider potential benefits of legalization, including reductions in arrests—particularly among racialized Canadians—reductions in stigma, and the potential to reduce excess risks through enhanced product standards. Cannabis legalization in Canada is in its infancy, and it will take several decades to fully assess its impact. Comparative research between countries will be imperative to this learning process. Indeed, a wide range of legal markets already exist: the Canadian framework is more restrictive than US states that have legalized ‘recreational’ cannabis, but less restrictive than commercial markets in Uruguay and those being developed in several European countries. Each of these frameworks provides an opportunity to evaluate ‘natural experiments’ in cannabis policy, particularly with regard to the effectiveness of specific regulations that are likely to determine the public health impact of legalization. This article was not funded. D.H. has provided paid expert testimony on behalf of public health authorities in response to legal claims from the cannabis, tobacco and vaping industries. There are no financial or other relevant links to companies with an interest in the topic of this article.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.289
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.042
GPT teacher head0.393
Teacher spread0.351 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2023
Admission routes2
Has abstractyes

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