U-47700: The new emerging opioid drug
Bibliographic record
Abstract
Introduction The trans-3;4-dichloro-N-(2-(dimethylamine) cyclohexyl) labelled as U-47700 has a high affinity with the selective receptor, considered to have 7.5 times the binding affinity of morphine; as a result, it is sold as a recreational drug because of its analgesic and euphoric effects. Several toxicity cases and some fatalities have been reported during 2016. Objectives To describe the presence of trans-3;4-dichloro-N-(2-(dimethylamine) cyclohexyl) in samples delivered to Energy Control during 2016 in Barcelona. Methods From January 2016 to October 2016, 4031 samples were delivered and only those samples containing trans-3;4-dichloro-N-(2-(dimethylamine) cyclohexyl) were studied, 6 of them were analysed as U-47700 (0.148%). Samples were analysed by energy control, a Spanish harm-reduction NGO that offers users the possibility of analysing the substances they intend to consume. Analysis was done by gas chromatography–mass spectrometry. Results From the 6 samples that were analysed as trans-3;4-dichloro-N-(2-(dimethylamine) cyclohexyl), the presentation of 4 of them was white powder and the rest were not described. The procedence of the samples was Canada (2), USA (1), Sweden (1), Holland (1) and the remaining sample was not described. All samples were received during 2016. Conclusions The use of trans-3;4-dichloro-N-(2-(dimethylamine)cyclohexyl) is progressively increasing in Barcelona. Its harmful effects are being reported in recent medical literature and consumption represents an emerging issue, gaining popularity among recreational opioid users. It is potentially lethal when mixed with depressants like alcohol or benzodiazepines and overdose risk is higher compared to other opioids. This drug is not being detected by routine in medical test. Disclosure of interest The authors have not supplied their declaration of competing interest.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".