Product Images Cln Acne Cleanser

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Product Label Images

The following 2 images provide visual information about the product associated with Cln Acne Cleanser NDC 69530-856 by Topmd Skin Care, such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

clnacnecleanser - clnacnecleanser

clnacnecleanser - clnacnecleanser

This product is a skin clarifying acne cleanser developed for the treatment of acne. It is for external use only, and skin irritation and dryness may occur, particularly if used with other topical acne medications. It is important to avoid contact with the eyes, and keep out of reach of children. Directions for use include washing twice a day, wetting the skin, dispensing onto the hands, massaging gently for 30 seconds to create a lather, and rinsing thoroughly with warm water. If bothersome dryness or peeling occurs, reduce use to once a day or every other day. This product is made in the USA and has been clinically tested.*

clndermacne - clndermacne

clndermacne - clndermacne

This is a description of an acne treatment product called CLn Acne Cleanser that contains 0.5% salicylic acid which helps clear and prevent breakouts for acne-prone skin. The active ingredient is salicylic acid and inactive ingredients include purified water, Sodium Laureth Sulfate, Cocamidopropyl Betaine, Cocamide MEA, etc. The product is to be used externally, avoiding contact with eyes and ingestion, and skin irritation and dryness may occur. The directions state that the skin should be cleansed twice daily, and the product dispensed into wet hands to massage the area gently for 30 seconds to create a lather, then rinse thoroughly with warm water. If dryness or peeling occurs, reduce use to once a day or every other day. This product is made in the USA and is clinically tested.*

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.