Mdacne Customized Acne Treatment Sulfur Cream
Product Images NDC 71804-535

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Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Mdacne Customized Acne Treatment Sulfur (NDC 71804-535). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Mdalgorithms Inc, 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

Inner Label00.jpg (Inner Label00)

Inner Label00.jpg (Inner Label00)
This product is a customized acne treatment with Sulfur 3.0% as the active ingredient. It is designed for the treatment of acne, clearing up acne pimples and blemishes while allowing the skin to heal. It helps to prevent new pimples and blemishes from forming. The directions recommend applying a thin layer to the affected area one to three times daily, gradually increasing as needed. The product contains various inactive ingredients such as Azelaic Acid, Witch Hazel, Chamomile Extract, and Vitamin E. For further questions or information, contact [email protected].*
FDA Label Image

Outer Label01.jpg (Outer Label01)

Outer Label01.jpg (Outer Label01)
This is a text about an acne treatment product with sulfur as the active ingredient. It provides clear instructions for use, including warnings about possible irritation and dryness. The product is dermatologist tested and contains various natural extracts like green tea and cucumber. It is recommended to clean the skin thoroughly before applying and start with one application daily, gradually increasing as needed. If bothersome dryness occurs, the application frequency should be reduced. It is important to store the product in a cool, dry place. For any questions or concerns, contact [email protected].*

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