Product Images Cerave Acne Foaming Creamwash

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The following image provide visual information about the product associated with Cerave Acne Foaming Creamwash NDC 49967-604 by L'oreal Usa Products Inc, 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.

image of a carton - CvBPO10 Page 2

image of a carton - CvBPO10 Page 2

This is a description of a skincare product developed with dermatologists. It is a maximum strength acne foaming cream wash that is designed to clear face and body acne, including pimples and blackheads, while also preventing new acne and allowing the skin to heal. The formula includes 3 essential ceramides, hyaluronic acid, and niacinamide, which help to retain the skin's natural moisture and leave it feeling comfortable. The wash is gentle but effective, instantly dissolving excess oil without stripping the skin's moisture or its protective barrier. It is suitable for use on both the face and body, and it treats acne on the skin. The product contains benzoyl peroxide as the active ingredient at a concentration of 10%. It is important to note that skin irritation and dryness may occur when using this product, especially if used in combination with other topical acne medications or with prolonged sun exposure. The directions for use recommend applying a dime-size amount of the wash to damp skin, massaging gently and avoiding the eye area, and rinsing well. It can be used on the entire affected area one to two times daily, and if excessive drying or peeling occurs, the application should be reduced. Sunscreen should be applied after using the product if going outside, and if irritation or sensitivity develops, the use of both products should be stopped and a doctor consulted. The product contains additional inactive ingredients, and questions or comments can be directed to a toll-free number provided.*

* 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.