Knowledge and (Ab)Use in Connection with Novel Psychoactive Substances: A Cross-Sectional Analysis of Psychedelic Users Existing on Online Platforms
Bibliographic record
Abstract
BACKGROUND: The prevalence of use and misuse of novel psychoactive substances (NPS) has been escalating at an exponential rate in the past two decades. Studies on NPS are highly concentrated in relevance to the developed world, while few have been undertaken in the developing countries.MATERIALS & METHODS: This study is observational and cross-sectional in nature; it relies on a web-based survey distributed to a population of (ab)users of psychedelics and NPS; this community was accessible via dedicated online platforms psychedelics users located on the Facebook social communication medium. The aim of the study is to estimate the level of knowledge and the extent of (mis)use in connection with psychoactive substances, including the novel ones (NPS).RESULTS: The number of participants who responded to the survey reached 458 responders. The level of knowledge and (ab)use was relatively high. The majority of participating individuals were Caucasians males from the developed world including the US, the UK, India, and western European countries. The primary religious affiliation was either agnosticism or atheism. Approximately, 26% were diagnosed with the neuropsychiatric condition.CONCLUSION: The NPS phenomenon is still a major concern primarily in the developed world. Additional studies are required in virtual and non-virtual populations. The targeted populations should include; students, medical professionals, academics, patients with psychiatric and neurological abnormalities, convicts and criminals, and even terrorists.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".