2016
DOI: 10.1016/j.drugalcdep.2016.06.004
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Bayesian inference for the distribution of grams of marijuana in a joint

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Cited by 37 publications
(23 citation statements)
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“…For smoking, we assumed that one joint was 0.32 g of cannabis. 30 For ingestion, we used the reported amount of cannabis per patient-reported product.…”
Section: Data Sourcesmentioning
confidence: 99%
“…For smoking, we assumed that one joint was 0.32 g of cannabis. 30 For ingestion, we used the reported amount of cannabis per patient-reported product.…”
Section: Data Sourcesmentioning
confidence: 99%
“…Based on the estimation that the mean weight of marijuana in a joint is 0.32 g [18], the monthly dose consumed by our cohort was 21 g.…”
Section: Resultsmentioning
confidence: 99%
“… 8 In Europe, the particular issue of smoking cannabis and tobacco is worrying and mostly disregarded. 29 Understanding how much cannabis is in a joint will inform important drug policy discussions 6 and improve research outcomes when estimating dose, especially as self-reported use is often the main outcome variable used to link cannabis consumption to health outcomes. It is essential that dose be taken into account alongside potency measures.…”
Section: Discussionmentioning
confidence: 99%
“… 2–5 Moreover, the role of frequency of use is often overemphasized at the expense of quantity (e.g., amount of cannabis used per day, per joint, or joints per gram), which is also a predictor of problematic use. 1 , 6–8 …”
Section: Introductionmentioning
confidence: 99%