Challenges for drug checking services in Scotland: a qualitative exploration of police perceptions
Bibliographic record
Abstract
BACKGROUND: The impact of policing practices on the engagement of people who use drugs (PWUD) with harm reduction services is well evidenced. Although the police have traditionally taken an enforcement role in responding to drug use, it is increasingly clear that they can play an important part in multiagency delivery of harm reduction interventions. Despite this, there have been no studies exploring police officer perceptions of drug checking services (DCS), which provide analytical testing of client drug samples alongside harm reduction support and advice. METHODS: Semi-structured interviews were conducted with 10 police officers to explore the policing and legal challenges which could be encountered in the delivery of DCS in Scotland. RESULTS: Participants expressed general support for DCS and described this support as part of a wider organisational shift towards public health-oriented policing. Participants also discussed different potential approaches to the policing of areas surrounding DCS including: formal limits on police presence around the service and/or stop and search powers in relation to personal possession; the effective decriminalisation of personal possession within a specified boundary around the service; and informal agreements between local divisions and DCS outlining expected policing practices. Any formal limitation on the capacity of police officers to respond to community concerns was viewed as problematic and as having the potential to erode public confidence in policing. Participants also highlighted the potential for frontline officers to utilise discretion in ways which could undermine public health goals. Legislative change, or national strategic guidance from relevant stakeholders, was seen as a means of providing 'cover', enabling local divisions to support the operation of drug checking. CONCLUSIONS: Despite a small sample of participants, this study summarises key challenges to be addressed in the implementation and operation of DCS in Scotland, and more widely. The paper concludes with suggested opportunities to develop approaches to policing that can facilitate rather than impede implementation and operation of these services.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".