A survey of the availability in Canadian pharmacy chains of over-the-counter natural health products for menopause symptoms
Bibliographic record
Abstract
BACKGROUND: Menopause is a natural phase in a woman's aging process, characterized by the cessation of menstruation. Women who are going through the menopause transition can experience physiological symptoms that significantly impact their quality of life. Concern about adverse effects of traditional hormone therapy often leads women to purchase over-the-counter (OTC) natural health products (NHPs). The goal of this study was toinvestigate the range of OTC NHPs for menopause available to Canadian women, and the packaging information they can access to make self-management decisions. METHODS: Edmonton stores belonging to each of nine Canadian pharmacy chains were visited to identify NHPs marketed for the relief of menopausal symptoms. Details were extracted from the packaging: a) product name and manufacturer, b) Health Canada license number, c) medically active ingredients, d) claims of efficacy, e) contra-indications and warnings, and f) daily cost. Data were entered and analyzed using Microsoft Excel. RESULTS: We identified 20 OTC NHP menopausal products, 19 of which had Health Canada license numbers. Twenty-eight medically active ingredients were identified, with the most common being black cohosh (in 14 products) and soy isoflavones (n = 7), chaste tree (n = 5), and dong quai (n = 3). Most products claimed they would relieve vasomotor symptoms, including hot flashes (n = 14) and night sweats (n = 10). Each product had a labeled contraindication for at least one specific condition. Costs per recommended daily dose ranged from $0.07 to a maximum of $2.50 (CAD$). CONCLUSION: Natural health products for menopausal symptoms are easily available to Canadian women. The lack of clear evidence of product efficacy makes the need for easily accessible, balanced information on this topic important for women to make well informed choices.
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 | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".