Potential for Allergic Contact Dermatitis in Popular Depilatory Wax Hair Removal Practices and Ingredients
Bibliographic record
Abstract
Allergic contact dermatitis (ACD) is a type IV delayed hypersensitivity reaction that can commonly arise from exposure to allergens in personal care and cosmetic products. Depilatory waxing, a common hair removal practice, involves the use of various products that may contain potential contact allergens. There is limited literature discussing ACD to hair removal products. We aim to discover the most common allergens prevalent in depilatory waxing products used in a popular wax center in the United States and those found in online marketplaces. Through communication with the salon staff, we reviewed the involved products and analyzed all ingredients for common allergens. We also conducted an online search to examine the ingredients and the most common allergens of the top 10 bestselling wax strips across four selected online marketplaces (CVS, Amazon, Walmart, and Walgreens). The final query of online products consisted of 12 distinct wax products and 10 postwax products. Among the products used in the salon, the most common allergens were vitamin E, colophony, botanicals, fragrance, beeswax/propolis, and color additives, in descending order. The most frequent allergens commonly encountered in online wax products included color additives, found in 67% (8/12) products, followed by botanicals and colophony, both present in 58% (7/12) products. In the postwax products, the most frequent allergen was vitamin E present in 100% (10/10) of the products, followed by fragrance (8/10). Although these allergens do not frequently cause ACD, it remains crucial to identify and note them in hair removal products to address any potential cases. Raising awareness of these allergens in all steps of hair removal can help ensure the safety and comfort of patients undergoing waxing treatments.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".