Patterns and social factors associated with non-prescription use of Tramadol: a cross-sectional study among youth in urban informal settlements in Ghana
Bibliographic record
Abstract
BACKGROUND: Non-prescription use of Tramadol is increasingly becoming common among vulnerable populations. This study examines the factors associated with non-prescription use of Tramadol among youth in urban informal settlements in the Asokore Mampong Municipality, Ghana. METHODS: Cross-sectional data from Tramadol users aged 15 to 35 years living in urban informal settlements were analyzed. Non-prescription use of Tramadol was assessed using the item "Have you ever used Tramadol for any reason without a prescription from a healthcare professional?". The responses were dichotomized as yes = 1, otherwise = 0. Multivariable logistic regression models evaluated the factors associated with non-prescription use of Tramadol. RESULTS: Data on 200 Tramadol users were obtained. Family/friends (52.3%), were the main source of knowledge on Tramadol. Energy boost (43%) was the most cited reason for Tramadol use. Approximately 52% indicated a continuing non-prescription use of Tramadol for energy boost. Multivariable logistic regressions showed that those who lived alone (OR = 6.34: 95% CI = 2.03-19.82), migrants (OR = 3.97, 95% CI = 1.31-12.05) and the unemployed (OR = 3.57, 95% CI = 1.02-12.58) were significantly more likely to report non-prescription use of Tramadol. CONCLUSIONS: Non-prescription use of Tramadol is a threat to the youth in urban informal settlements in the Asokore Mampong Municipality. Interventions such as strict drug monitoring and regulation, drug use education, strict parental supervision, and sustainable jobs may contribute to controlling non-prescription use of Tramadol.
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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 | 0.001 |
| 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".