THE USE OF ALOE CONSTITUENTS IN SELF-ADMINISTERED CANCER TREATMENT
Bibliographic record
Abstract
Complementary and alternative medicines (CAMs) include many different biologic substances that may be ingested or applied topically in an effort to mitigate disease. One source of such substances is the Aloe, a plant that has been used since antiquity to treat a multitude of conditions, and which is now being touted as a potential natural aid in the fight against cancer. There are many different classes of nutrient and modulatory chemicals isolated from Aloe, and some have now been investigated for their anticancer activities. This review will focus on the anticancer properties of four main Aloe components – aloe-emodin, aloin, acemannan and b-sitosterol – in relation to their activities against cells in human cancers and potential abilities to interfere with conventional chemotherapeutics. We build upon this background to consider the validity for Aloe in cancer care. It is evident, after considering both in vitro and in vivo findings, that there needs to be further independent studies examining the safety and efficacy of ingestion of Aloe products for human use, proper standardization of product content, and systematic identification and characterization of the wide variety of Aloe constituents.Aloe is a genus of perennial succulent plants that thrive in hot, dry climates (Choi et al., 2002; Molassiotis et al., 2005). As with many plants, its cosmetic and health-related potentials have been explored since antiquity, and it finds current use in a multitude of cosmetic, dermatologic and other healthcare products (Reynolds and Dweck, 1999; Ulbricht et al., 2007). However, more recently it has fallen into that group of biologics that have found favour in the popular view as a natural remedy for chronic diseases such as cancer. In this review we explore the emerging issue of ‘natural medicines’, the anticancer activities reported for Aloe itself, and provide a perspective on whether Aloe has a place in rational support of the cancer patient.Keywords: Natural products, alternative medicine, aloe, aloe-emodin, aloin, acemannan, cancer.Proceedings of the Nova Scotian Institute of Science (2012)Volume 47, Part 1, pp. 59-89
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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 | 0.000 | 0.000 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".