Substance use disorders in Saudi Arabia: a scoping review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Substance use disorders (SUD) are mental health conditions that arise from chronic drug use. There is an increased recognition of this problem in Saudi Arabia. OBJECTIVE: Conduct a comprehensive review of published literature on SUD to identify knowledge gaps and to guide future research. METHODS: PubMed, Embase and Cochrane databases were searched with suitable keywords for SUD publications up to June 10, 2019. Eligible studies (primary research conducted in Saudi Arabia) were organized into three broad domains: (1) risk (or protective) factors of SUD, (2) perspectives on drug use of people who use drugs, and (3) impact on family. The quality of the included studies was assessed with the Newcastle-Ottawa Scale. RESULTS: Of the 113 search records, 23 were eligible for analysis (19 cross-sectional and 4 case-control). All studies were conducted in clinical settings; all but two included males only. There were 4 studies about SUD risk factors, 6 studies about the perspectives of people who use drugs, and none about family impact. None of the cross-sectional studies (0%) and 25% of case-control studies were of good quality. CONCLUSIONS: The available studies were few in number, weak in methodology, and poor in quality. Quantitative as well as qualitative studies about SUD are warranted in each domain and should represent both genders.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| 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 it