NOW Supplements, Slippery Elm (Ulmus rubra) 400 mg, Herbal Supplement, 100 Veg Capsules : Everything Else

NOW Supplements, Slippery Elm (Ulmus rubra) 400 mg, Herbal Supplement, 100 Veg Capsules : Everything Else

ASIN: B0014UFVBI
Analysis Date: Oct 30, 2025 (re-analyzed Oct 30, 2025)

As an Amazon Associate I earn from qualifying purchases.

Review Analysis Results

D
Authenticity Grade
42.00%
Fake Reviews
4.87
Original Rating
3.80
Adjusted Rating

Analysis Summary

This product shows moderate signs of review manipulation with several concerning patterns. While some reviews appear genuine with specific medical conditions and detailed usage scenarios, there are multiple red flags: 1) Multiple reviews mention unusual or medically questionable benefits (vaginal lubrication, treating pets with serious conditions) that seem exaggerated, 2) Several reviews use nearly identical phrasing about 'gut healing' and 'digestive issues' suggesting coordinated content, 3) The 5-star dominance (14 of 16 reviews) with minimal critical feedback is statistically unusual for a supplement, 4) Several reviews contain generic praise without substantive details. However, the presence of some medically specific reviews and varied writing styles provides some balance.

Review Statistics

11,153
Total Reviews on Amazon
-1.07
Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade D mean?

This product has significant review authenticity issues. Many reviews show patterns consistent with fake or incentivized reviews. Exercise caution.

Adjusted Rating Explained

The adjusted rating (3.80 stars) represents what we estimate this product's rating would be if fake reviews were removed. This product's adjusted rating is lower than Amazon's displayed rating (4.87 stars), suggesting positive fake reviews may be inflating the score.

How We Detect Fake Reviews

Our AI analyzes multiple factors: language patterns (generic vs. specific), reviewer behavior (history, timing), temporal anomalies (review clusters), verification status, sentiment authenticity, and statistical outliers. No single factor determines a review is fake - we look at the combination of signals.

Important Limitations

No automated system is perfect. Sophisticated fake reviews can evade detection, and some genuine reviews may be incorrectly flagged. Use this analysis as one data point in your purchasing decision, not the only factor. Reading actual review content yourself is always valuable.

Share This Analysis

Learn More About Fake Reviews

Analyze new product