Product Images Clearprep Fx

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 2 images provide visual information about the product associated with Clearprep Fx NDC 68327-006 by Cover Fx Skin Care, 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.

ClearPrep FX Carton Label - CoverFX ClearPrepFX Carton

ClearPrep FX Carton Label - CoverFX  ClearPrepFX Carton

LA GUERISON DE LA PEAU. FAITES UEXPERIENCE D'UN MELANGE D'EXTRAITS BOTANIQUES QUI DONNE A CRUELTY FREE SANS CRUAUTE. IST. BY/PAR CoveR s cane. TORONTO, ONTARI. MATTE FOUNDATION PRIMER & ANTI-ACNE TREATMENT GEL. BASE DE MAQUILLAGE MATIFIANTE ET TRAITEMENT GEL ANTIACNEIQUE. NPN 80008580. 30mLA0FLOZ. Description: The text contains information about a cruelty-free and botanical mixture for skin healing, a matte foundation primer and anti-acne treatment gel with a natural product number 80008580. However, the text lacks context and complete sentence structure.*

ClearPrep FX Product Label - CoverFX ClearPrepFX

ClearPrep FX Product Label - CoverFX ClearPrepFX

This is a description of a skincare product. It is a primer and anti-acne treatment gel that is used to prepare the skin for foundation application. The gel helps to treat acne, pimples and allows the skin to heal. It also helps to reduce the appearance of shine and pores. The product should be applied to affected areas one to three times a day or as directed by a health care practitioner after cleansing the skin thoroughly. The active ingredient in the product is salicylic acid at 1.0%. The product is distributed by Cover FX Skin Care Inc. and made in Canada. The product is available in a 30ml/1.0 fl.oz. container. If there are any serious adverse effects from using the product, one should contact Cover FX at their address in Canada or the USA.*

* 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.