Perricone Acne Relief Calming And Soothing Clay Mask
Product Images NDC 54111-156

Product Visual Gallery

This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Perricone Acne Relief Calming And Soothing Clay Mask (NDC 54111-156). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Bentley Laboratories, Llc, 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

156 Claymask Tube (156 Claymask Tube)

The Perricone MD Acne Relief Calming & Soothing Clay Mask is a salicylic acid acne treatment with 2.0m. It comes in a 59ml/2USfl oz bottle and is ideal for the external treatment of acne. The mask should be applied to clean, dry skin and massaged until the formula is evenly spread over the face and neck. It should then be left for 10-15 minutes to dry before rinsing with warm water. The product contains a warning to keep out of eyes, rinse with water if eye contact occurs, and keep out of reach of children. The rest of the text is not-available due to errors.*

FDA Label Image

156 Claymask (156 Claymask)

FDA Label Image

156-51 Claymask Packet (156 51 Claymask Packet)

Perricone MD Acne Relief Calming & Soothing Clay Mask is a salicylic acid acne treatment that helps to reduce skin irritation and dryness. It contains a thin layer of the active ingredient that can be applied two to three times weekly for 10-15 minutes, rinsed with warm water. Excessive drying of skin may occur, hence start with one application weekly, then gradually increase it. The product's inactive ingredients include Water, Glycerin, PEG, Hydrogenated Castor Oil, Bentonite, and much more. It is recommended to keep the product away from children and to follow the directions and precautions mentioned on the packaging.*

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