Understanding injecting drug use in Afghanistan: A scoping review
Bibliographic record
Abstract
Abstract Background Several reports have described a growing prevalence of illicit drug use in Afghanistan, with recognition of a recent shift from traditional modes of consumption involving inhalation and oral ingestion to injecting drug use. Objective Conduct a comprehensive review of existing literature to map the injecting drug use situation in Afghanistan. The review intends to describe risk factors and impacts of injecting drug use, drug use characteristics and risk behaviours among people who inject drugs (PWID), and access to harm reduction and treatment. Methods We searched Embase, Global Health, Medline, PsycINFO, Web of Science, and grey literature to identify English language publications up to March 26th, 2022. Studies were eligible for inclusion if they explicitly targeted PWID or injecting drug use in Afghanistan and provided information relevant to the review questions. Two reviewers independently screened titles and abstracts for inclusion and extracted information based on the review objectives. Results A total of 25 articles were identified representing 15 studies (11 quantitative, 2 qualitative, 2 mixed methods). All but one studies were cross-sectional. In majority of the studies, over 95% of the participants were male and most were conducted over a decade ago, in urban settings, mainly Kabul. Only one study examined risk factors of injecting drug use. Eleven studies described drug use characteristics and 9 reported risk behaviours among PWID. Health and social burden of injecting drug use were reported by 8 and 5 studies, respectively. Nine studies described access to harm reduction and treatment. Afghan PWID had high levels of injecting and sexual risk behaviours compared to global estimates. They reported high prevalence of incarceration and displacement. Access to harm reduction and treatment was very limited. This scoping review revealed important knowledge gaps including a gender gap in research with serious implications for drug policy and substance use care. Conclusions Development of a national public health-oriented drug policy and substance use care programme is warranted along with efforts to develop health research capacity to address the need for epidemiological data. The current humanitarian crisis necessitates continued access to evidence-based harm reduction and treatment in Afghanistan.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.011 | 0.051 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.026 | 0.021 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".