Skin Pharmacy Advanced Acne Therapy Kit
Product Images NDC 68634-067
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Skin Pharmacy Advanced Acne Therapy Kit (NDC 68634-067). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Amcol Health & Beauty Solutions, Inc. Dba, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.
Principal Display Panel (Skin+Pharmacy Advanced Acne Therapy Kit Label)
Skin+Pharmacy Advanced Acne Therapy is a line of skin care products that can help reduce the appearance of acne, unclog pores, and kill bacteria. These clinically tested products are exclusive to CVS/pharmacy and are less irritating to the skin. The medication contains 2% salicylic acid and is indicated for the management of acne. However, those who have very sensitive skin or who are sensitive to salicylic acid should not use the product without consulting a doctor. The user should avoid using other topical acne medications simultaneously to prevent dryness or irritation of the skin. The product should be applied in the morning and at night, and if excessive dryness occurs, application can be reduced to once a day or every other day. The medication should be kept out of reach of children, and in case of accidental ingestion, medical help or contact with Poison Control Center should be obtained immediately. The product includes inactive ingredients such as Water, Sodium C14-16 OlefinSulfonate, PEG-5 Cocamidopropyl Betaine, and Xanthan Gum.*
Principal Display Panel (Skin+Pharmacy Advanced Acne Therapy Kit Label)
Principal Display Panel (Skin+Pharmacy Advanced Acne Therapy Kit Label)
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.