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One may argue that dose-response relationships for human and animal data can be extrapolated. This is, however, not helpful in the case of cannabis, since cannabis is not (or only very briefly) used for treatment in a single country but remains legal for usage in all countries. Cannabis abuse consequently is a global challenge. Therefore, the modifications of the database for an individual country are restricted. For example: cannabis is listed as a very dangerous drug for usage in the Netherlands, but as an illegal substance for usage in the UK, where MDMA and cannabis are listed as “suitable for occasional usage.” Neither high information, nor toxicological data will lead to valid results for such cases. Therefore, we decided to develop and apply the method for which dose-response curves are collected from all countries and were available for alcohol and tobacco only. This high information-based toxicity assessment allows to ensure that the most frequent drug use is represented (note: many countries use cannabis for medical usage, which would be unreported in our dataset).
updating our dataset to the most recent guideline for risk assessment and re-analyzing the data lead to major changes in the risk profile of all consumed drugs. The most notable changes can be found in alcohol and cannabis. Risk assessments of these drugs based on previous approaches would have been overestimated as shown in Figure S1 (see Supplementary information online). The reduction of the risk of alcohol and cannabis can be explained by the high uncertainty in the risk assessment parameters of these substances. To substantiate this statement, a hypothesis that the R number in animal toxicity for these substances is overestimated was generated and applied to the data. It can be seen that the lowest exposure values for alcohol (0. d2c66b5586
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