Chemsex among men who have sex with men in Germany: motives, consequences and the response of the support system
Bibliographic record
Abstract
Background In Germany, drug use in sexual settings (i.e. chemsex) among men who have sex with men (MSM) has increasingly been the subject of discussion for considerable time. At the same time, however, little is known about this practice. It is against this background that what is currently known about chemsex among MSM in Germany is discussed. METHODS: The present study observations are essentially based on the results of two research projects of a qualitative-explorative nature. In-depth interviews with drug-using MSM (n=14), as well as qualitative, problem-centred interviews with drug-using MSM (n=75) and expert interviews (n=27) were conducted within these research projects. RESULTS: Chemsex is a minority behaviour among MSM in Germany. The reasons for using drugs in sexual settings are manifold. For the most part, the effects of the drugs are used to intensify sexual feelings and to achieve greater intimacy. Men who consider their consumption to be problematic, in particular, report a range of negative consequences, such as sexually transmissible infections. Even though chemsex is a minority behaviour, suitable offers of support are, hence, necessary, especially for these men. However, such offers are not yet available in most German cities. CONCLUSIONS: In order to close this gap in provision of support services, tangible practical steps, such as further training of people who work at drug and gay advisory services, are necessary, along with further research into the backgrounds and contexts of chemsex.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".