Meldonium long‐term excretion period and pharmacokinetics in blood and urine of healthy athlete volunteers
Bibliographic record
Abstract
Meldonium is a metabolic drug whose inclusion in the 2016 List of Prohibited Substances and Methods followed the analysis of data collected under the 2015 World Anti-Doping Agency Monitoring Program. In the early months of 2016, anti-doping laboratories reported an unusually high number of cases in which urine samples contained high concentrations of meldonium. Consequently, the meldonium excretion period in healthy athletes and the substance's long-term urine and blood (plasma) pharmacokinetics became central questions for the anti-doping community to address, to ensure appropriate assessment of the scientific and medical situation, and also fair treatment of athletes from a result management and legal standpoint. At the present time, data on meldonium pharmacokinetics is limited to a few studies, with no known data available on long-term excretion of high oral doses. The primary objective of this open-label study was to determine long-term urine and plasma pharmacokinetic parameters of meldonium in healthy volunteers. Study design included single and repeated functional load testing and assessment of L-carnitine administration on meldonium excretion and pharmacokinetics. Thirty-two volunteers were equally divided into two groups receiving either 1.0 g or 2.0 g of oral meldonium daily for 3 weeks. The study found meldonium takes several days to attain a steady state in blood and displays an elimination period over several months after cessation of treatment. Moreover, findings demonstrate that the daily dose, periodicity and duration of treatment with meldonium are the most important factors to consider in calculating the substance's elimination and complete body clearance.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".