Unblemish Refining Acne Wash Cream
Product Images NDC 14222-2111

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Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Unblemish Refining Acne Wash (NDC 14222-2111). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Rodan & Fields, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

Product Images & Figures Index

FDA Label Image

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This is a Drug Facts label for a skincare product called Rodan+Fields Refining Acne Wash. The product contains salicylic acid and is intended for adult acne and visible signs of aging. It is part of the UNBLEMISH Regimen and is developed by dermatologists Dr. Katie Rodan and Dr. Kathy Fields. The label includes information about active ingredients, uses, warnings, directions for use, and a list of other ingredients. There is also a phone number for questions.*
FDA Label Image

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This is a description for a skincare product called "Refining Acne" which contains salicylic acid and is used to treat acne. The product is applied with fingertips to the entire face, avoiding contact with the eyes, and rinsed off with water after 30-60 seconds. It is recommended to start with daily use, then gradually increase to two or three times daily as needed or directed by a doctor. If dryness or peeling occurs, application should be reduced to once a day or every other day. The product is for external use only and should not be used with other topical acne medications. If irritation occurs, use of the product should be discontinued and medical attention sought if swallowed. The manufacturer is Rodan & Fields LLC and the product is made in the USA with domestic and imported materials. Contact information is provided for questions or concerns.*

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