Mass spectral analysis of PC-SPES confirms the presence of diethylstilbestrol.
Bibliographic record
Abstract
INTRODUCTION/OBJECTIVES: PC-SPES is an herbal mixture available over the counter for the treatment of prostate cancer. It was re-called in January 2002 due to alleged contamination with warfarin. Other laboratories, including our own, claim that the potent synthetic estrogen, diethylstilbestrol (DES) which has been used for many years to treat hormone dependent prostate cancer, could be detected in the herbal mixture. Recent clinical studies report objective responses in men with hormone dependent and naïve prostate cancer, and also describe isolated cases of estrogenic side effects. A lack of effective conventional treatments for advanced hormone refractory prostate cancer has led to a widespread use of PC-SPES by patients across the North America continent. The presence of DES in PC-SPES might explain both clinical response and observed side effects in men taking 6-9 capsules per day. METHODS: We tested five batches of commercially available PC-SPES using gas chromatography (GC) and high performance liquid chromatography (HPLC) upon methanolic extraction. Duplicate aliquots were tested for each batch and the results compared to standard curves generated using DES (99% purity). RESULTS AND CONCLUSIONS: We detected significant levels of DES in three out of five tested batches. The presence of a synthetic steroid in PC-SPES is not likely to have occurred as a result of its extraction from a herbal source. The implications of this finding highlight the necessity of regulated quality control and standardization of natural health products.
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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) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.005 |
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".