Global Scientific Production on Illicit Drug Addiction: A Two-Decade Analysis
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
AIMS: Addiction science has made great progress in the past decades. We conducted a scientometric study in order to quantify the number of publications and the growth rate globally, regionally, and at country levels. METHODS: In October 2015, we searched the Scopus database using the general keywords of addiction or drug-use disorders combined with specific terms regarding 4 groups of illicit drugs - cannabis, opioids, cocaine, and other stimulants or hallucinogens. All documents published during the 20-year period from 1995 to 2014 were included. RESULTS: A total of 95,398 documents were retrieved. The highest number of documents were on opioids, both globally (60.1%) and in each of 5 continents. However, studies on cannabis showed a higher growth rate in the last 5-year period of the study (2010-2014). The United States, the United Kingdom, Germany, Canada, Australia, France, Spain, Italy, China, and Japan - almost all studies were from high-income countries - occupied the top 10 positions and produced 81.4% of the global science on drug addiction. CONCLUSION: As there are important socio-cultural differences in the epidemiology and optimal clinical care of addictive disorders, it is suggested that low- and more affected middle-income countries increase their capacity to conduct research and disseminate the knowledge in this field.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.008 |
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