Terbutaline Accumulates in Blood and Urine after Daily Therapeutic Inhalation
Bibliographic record
Abstract
PURPOSE: This study investigated pharmacokinetics of terbutaline after single and seven consecutive days of inhalation in exercising trained men. METHODS: Twelve healthy trained men underwent two pharmacokinetic trials comparing single dose (2 mg) and seven consecutive days (2 mg·d) of inhaled terbutaline. After inhalation of terbutaline at each trial, subjects performed 90 min of bike ergometer exercise at 55%-65% of maximal oxygen consumption after which they stayed inactive. Blood and urine samples were collected before and after inhalation of terbutaline. Samples were analyzed by high-performance liquid chromatography-tandem mass spectrometry. RESULTS: Maximum serum concentration of terbutaline (Cmax) (6.4 ± 1.2 vs 4.9 ± 1.2 ng·mL, P = 0.01) (mean ± 95% confidence interval) and area under serum concentration-time curve from 0 to 4 h after inhalation (AUC0-4) (16 ± 3 vs 13 ± 2 ng·mL·h, P ≤ 0.005) were higher after 7 d of inhalation compared with the first day. Seven days of terbutaline inhalation resulted in accumulation of terbutaline in urine, in which total urine excretion of terbutaline was higher after 7 d of inhalation compared with the first day (274 ± 43 vs 194 ± 33 μg, P ≤ 0.001). These differences were partly attributed to systemic accumulation of terbutaline after consecutive days of inhalation, in that baseline serum and urine samples revealed incomplete elimination of terbutaline. CONCLUSION: Terbutaline accumulates in serum and urine after consecutive days of inhalation. For doping control purposes, these observations are of relevance if a urine threshold and decision limit is to be introduced for terbutaline on the World Anti-Doping Agency's list of prohibited substances because asthmatic athletes may use their bronchorelievers for consecutive days.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".