IMPACT OF PHARMACY REFORM ON THE DYNAMICS OF THE USE OF DRUGS AND PSYCHOACTIVE SUBSTANCES ACCORDING TO THE 2013-2016 CLINICAL DATA FROM THE "CENTER FOR MENTAL HEALTH AND PREVENTION OF ADDICTION".
Bibliographic record
Abstract
Use of medications without doctor's prescription widely established in Georgia had negative impact on the health of the population and on the whole social situation. The use of home-made drugs "Krokodil", "Jeff" and "Vint" produced from the preparations bought without prescriptions (Codeine, Ephedrine), became a special matter of concern. Psychoactive substances became available for teenagers causing damage to their central nervous system and formation of drug-addiction in them. Due to the situation Georgian Government took a number of legislative measures, particularly, it set Criminal Liability for illegal circulation of pharmaceutical products containing Codeine and Ephedrine and Administrative Measures for issuing the psychoactive substances without prescription. Reviewing the clinical histories (2013-2016) of the hospitalized beneficiaries of the "Center for Mental Health and Prevention of Addiction", revealed that the number of the users of home-made drugs produced of Codeine and Ephedrine was reduced but the reform did not have significant influence on distribution of psychoactive substances, due to which administrative measures for breaking circulation rules on psychoactive substances was tightened. The situation is also being improved with the help of universal use of electronic prescriptions and the introduction of quotas on psychoactive substances.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".