Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 188

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Legalizing a market for cannabis for pleasure: Colorado, Washington, Uruguay and beyond: Legalising a market for cannabis

Room, Robin·2014·Addiction

Abstract

Colorado, Washington state and Uruguay are currently designing legal non-medical markets for cannabis. These clearly contravene the 1961 and 1988 drug conventions; options for what may happen next are discussed. The current provisions in the three regulatory schemes are summarized. From a public health perspective, the emphasis should be on holding down consumption with regulatory measures, but the public health agenda does not seem to be a strong consideration in the implementation of the US schemes, and they are paying little attention to what can be learned from the history of alcohol and tobacco regulation. While alternative paths to a cannabis market under the conventions are noted, the legalization initiatives underline the need to revise the drug conventions, making prohibition of domestic markets an optional matter. Such changes would also ease the path for including alcohol under the conventions, which would be an important step forward in global health.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/add.12355

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 1 references

Cited by

See all 188

Metadata

Authors
Room, R.
Venue
Addiction
Publisher
Wiley
Published
2013-11-03
Volume
109
Issue
3
Pages
345-351
ISSN
0965-2140 (ISSN-L)
OpenAlex
W1838063085
Cited by
188
References
1
FWCI
16.94
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Legalizing a market for cannabis for pleasure: Colorado, Washington, Uruguay and beyond: Legalising a market for cannabis. https://app.cochat.ai/papers/10.1111/add.12355
The paper
Room, R. (2014). Legalizing a market for cannabis for pleasure: Colorado, Washington, Uruguay and beyond: Legalising a market for cannabis. Addiction. https://doi.org/10.1111/add.12355

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.