Olanzapine as the ideal “trip terminator”? Analysis of online reports relating to antipsychotics' use and misuse following occurrence of novel psychoactive substance‐related psychotic symptoms
Bibliographic record
Abstract
OBJECTIVE: The pharmacological self-management of novel psychoactive substance (NPS)-induced psychopathological consequences represents a fast growing phenomenon. This is facilitated by the frequent sharing of NPS intake experiences online and by the ease of access to a range of psychotropic medications from both the online and street market. Olanzapine is anecdotally reported by Web users to be the most frequent self-prescribed medication to cope with NPS-induced psychoses. Hence, we aimed here at better assessing olanzapine use/misuse for this purpose. METHODS: Exploratory qualitative searches of 163 discussion fora/specialized websites have been carried out in four languages (English, German, Spanish, and Italian) in the time frame November 2012-2013. RESULTS: Most NPS-users allegedly self administer with olanzapine to manage related psychotic crises/"bad trips". This may be typically taken only for a few days, at a dosage range of 5-50 mg/day. CONCLUSIONS: Only a few research studies have formally assessed the effectiveness of olanzapine and indeed of other second-generation antipsychotics to treat NPS-induced psychosis. Olanzapine was suggested here from a range of pro drug websites as being the "ideal" molecule to terminate "bad trips". Health professionals should be informed about the risks related to olanzapine misuse.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".