Slim Patch
Product Images NDC 84537-002

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Slim Patch (NDC 84537-002). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Guangzhou Bomei Cross Border Supply Chain Management Co., Ltd, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Label (30pcs Slim Patch)

This is the description: SlimPatch is a highly effective natural weight loss patch that contains all-natural ingredients. It helps to metabolize fats, carbs, and sugars by working with the body's endocrine system. The patch blocks the uptake of additional fats, improves blood circulation, and aids in detoxification by removing toxins from the body. It also enhances bowel function and helps with constipation. Each patch is designed for 12 hours of use within a 24-hour period. This product is recommended for external use only by adults and is not suitable for pregnant or nursing women, individuals with skin allergies, elderly, or children. Shelf life is 3 years.*

FDA Label Image

Label2 (80pcs Slim Patch)

This text is a description of a natural weight loss patch called SLIM PATCH. It contains active ingredients like mint essential oil, Pachymic acid, and Baicalin, among others, that help improve metabolic rate and blood circulation while burning fat, carbs, and sugars. The patch is designed to be applied to the navel area for 12 hours each day and should not be used by pregnant women, breastfeeding mothers, those with skin allergies, or on damaged skin. The patch is meant for external use only and aims to detoxify the body, remove toxins, and aid in weight loss. MANUFACTURER: Guangzhou Bomei Cross-border supply Chain Management Co., Ltd.*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.