Product Images Maximum Strength Acne Spot Treatment Cvs Health

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The following 2 images provide visual information about the product associated with Maximum Strength Acne Spot Treatment Cvs Health NDC 69842-674 by Cvs, 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 description - back

image description - back

This is a description for Panoxyt Advanced Acne Spot Treatment by CVS Pharmacy. The active ingredient is 10% Benzoyl Peroxide, which is used for the treatment of acne. The product is for external use only and should not be used if you have sensitive skin or are allergic to benzoyl peroxide. If it gets into the eyes, rinse with water immediately. The product can cause skin irritation, and if it becomes severe, stop use and consult a doctor. It includes detailed directions regarding how to use the medication and possible side effects, such as excessive dryness. There is a warning to avoid unnecessary sun exposure and use sunscreen, and to avoid contact with eyes, mouth, and hair. The inactive ingredients are also listed, including Aluminum Hydroride, Bentonite, Carbomer, Glyceral Stearate, isopropyl Myristate, PEG-12, Potassium Hydroxide, Potassium Sorbate, Propylene, and Glycol. The product is distributed by CVS Pharmacy, Inc., and it has a 100% money-back guarantee.*

image description - front

image description - front

This is a description of CVS Healthâ„¢ Acne Spot Treatment, which contains 2.8 times more benzoyl peroxide than the national brand and is available without a prescription in a 0.35 oz container. It is a maximum strength spot treatment that works quickly to eliminate existing acne and prevent new breakouts from forming. This product has been dermatologist tested and contains 10% benzoyl peroxide. The net weight of the treatment is 1 oz (28g).*

* 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.