Trial reportThe International journal on drug policy2020
Sales to apparently alcohol-intoxicated customers and online responsible vendor training in recreational cannabis stores in a randomized trial.
Trial report in The International journal on drug policy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed, 2 citations in OpenAlex.
- Noncompliance with laws to prevent polysubstance misuse: Recreational cannabis sales to apparently alcohol-intoxicated customers.Alcohol, clinical & experimental research · 2026Article
- Sales to Apparently Intoxicated Customers in Three States With Different Histories of Responsible Beverage Service Training.Journal of studies on alcohol and drugs · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundIn some U.S. states, laws prohibit sales of recreational marijuana to intoxicated customers to prevent associated harms. In alcohol markets, training in responsible sales practices is one intervention to help reduce such sales to intoxicated customers. Similar training may be beneficial in the recreational cannabis market.
methodsAn online responsible marijuana vendor (RMV) training was developed. Among its five modules, learning elements taught store personnel to recognize signs of alcohol impairment and intoxication, refuse sales, and understand the risks of driving under the influence of cannabis. A sample of n = 150 recreational cannabis stores in Colorado, Oregon, and Washington State, USA were enrolled in a randomized controlled trial, half of which were randomly assigned to use the RMV training. Stores were posttested using a pseudo-customer protocol in which confederate buyers feigned obvious signs of alcohol intoxication.
resultsDeterrence of sales to intoxicated customers does not seem to exist, regardless of whether the states' laws prohibit it. Only 16 of 146 stores (11.0%; 4 Oregon stores were eliminated that were not in business) refused sales. There was no difference in refusal rates between intervention (11.6% [3.9%]) and control stores (7.6% [3.1%], F = 0.71, p = 0.401 [1-tailed]) or between stores that used the RMV training (6.3% [4.0%]) or not (12.0% [5.7%], F = 0.91, p = 0.343 [2-tailed]). In 11 visits, store personnel commented on the buyers' behavior, or expressed concern/suspicion about buyers, but sold to them anyway.
conclusionsTraining in responsible sales practices alone did not appear to reduce sales to apparently alcohol-intoxicated customers. Legal deterrence from making these sales may be insufficient or nonexistent for store management to support adherence to this responsible sales practice. Regulatory and policy actions may be needed to increase perceived risk with such sales (i.e., clear policy and swift, severe, and certain penalties) to achieve training's benefits.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.