An Internet snapshot study to compare the international availability of the novel psychoactive substance methiopropamine
Bibliographic record
Abstract
CONTEXT: With the increased use of novel psychoactive substances, there is an increasing availability of these substances from Internet-based suppliers. Methiopropamine, first reported in 2011, is a recreational drug available over the Internet. The aim of this study was to investigate availability and cost of methiopropamine in three different countries: the UK, France, and Canada. METHODS: Using the European Monitoring Centre for Drugs and Drug Addiction Internet snapshot methodology, this study, conducted in June 2013, was undertaken in two different languages: in English (the UK and Canada) and in French (France and Canada), using three Internet searching engines: " google.co.uk ", " google.fr " and " google.ca ". RESULTS: A total of 62 sites were found, most of them were found from the English searches. 45% of the suppliers seemed to originate from the UK. The prices of methiopropamine were comparable between suppliers, no matter which search engine or language was used. The cost of a unit of methiopropamine was inversely related to the purchased quantity, going from 19.49 ± 0.15 GBP per gram for a purchase amount of 500 mg to 3.54 ± 0.13 GBP per gram for a purchase amount of 1 kg. DISCUSSION: The results of the present study demonstrate that the sale of methiopropamine has the potential to reach users across the world. It also appears to support that snapshot studies could be used for toxicovigilance across different countries, by studying the Internet market of novel psychoactive substances. CONCLUSION: To date, snapshot studies, used to monitor the Internet novel psychoactive substances market, have only been undertaken in Europe. We have shown that the flexibility of this methodology enables comparison of the online activity of drug sellers between different countries and continents and that, at least for methiopropamine, the UK is the predominant source for Internet supply.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".