Prevalence of reproductive drugs usage in humans and animals: A pilot study in Patiala city of India
Bibliographic record
Abstract
Reproductive drugs that include contraceptive and fertility drugs are used to manage reproductive health in both humans and animals. Contraceptive drugs are mainly used by humans for reversible contraception whereas fertility drugs are mainly used in animals to increase milk production, poultry products and meat production. Usage of these drugs has increased manifold in the last decade. These drugs are excreted through body fluids (mainly urine and milk) that lead to contamination of surface water, milk and animal produce. Consumption of such contaminated products or water results in reproductive disorders and different types of cancers in humans. This questionnaire-based study was designed and conducted involving gynecologists, pharmacies, medical stores and veterinarians in Patiala city and its adjoining areas in India to evaluate the quantitative and qualitative aspects of use of these drugs. A total of 150 survey points were identified with random sampling method. Data was analyzed using appropriate statistical tools. The results showed that contraceptive drugs constitute 86% of reproductive drugs usage in humans. Further, steroidal contraceptives constitute a huge 94.7% share of contraceptive drugs, and of these combined oral contraceptives have 79.79% share among which a combination is ethinylestradiol and levonorgestrel is the most popular (20.92%). The consumption of COCs is higher than that of progestin only pills (Z = 3.39) as well as estrogen only pills (Z = 4.30). In contrast, usage of non-hormonal fertility drugs (89%) dominates over the hormonal class (11%) in humans. The most widely used non-hormonal fertility drug is clomiphene citrate (73.87%). In animals, the prescription rate of hormonal fertility drugs is higher (83%) than the non-hormonal one, where in the most widely prescribed drug is buserelin acetate. These findings are in consonance with the similar studies carried out in US, Europe and Canada which suggest that reproductive drugs usage pattern is more or less similar across the globe. A careful control to discourage indiscriminate use of such drugs is the need of hour to prevent damage of environment and ultimately to the health of living beings.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".