Product Images Berberex Wound Cleanser
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 3 images provide visual information about the product associated with Berberex Wound Cleanser NDC 52261-0500 by Cosco International, 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.
118 mL PLPLDP - MM1

BerbereX is a wound cleanser manufactured by Nuvision Pharmaceuticals LLC. It is designed for external use only and promotes healing while also working as an antimicrobial agent. The product uses pH balancing technology. The label suggests that the product should only be used under the guidance of a doctor. The product is made in the United States of America.*
237 mL PLPLDP - MM2

BerbereX Wound Cleanser is a pH balancing, antimicrobial solution that promotes healing. It is meant for external use only and it is recommended to consult a doctor before using it. The wound cleanser is made by NuVision Pharmaceuticals in the USA. The active ingredients include Hydrogen Peroxide, Horkin, and Eenehonm Ciorde. The product should not be used by children under 2 years old. The net weight of the product is 8 fl. oz or 237 mL. Directions for use include rinsing the affected area and spraying the solution on the wound.*
473 mL PLPLDP - MM3

BerbereX Wound Cleanser is a medical solution offered by NuVision Pharmaceuticals for external use only. The solution is antimicrobial and pH balancing, and promotes healing. This medication should be used after consulting with a doctor. It has active ingredients for cleansing purposes and is not recommended for children under two years of age. The solution is manufactured in the USA and comes in a 16 FL Oz/ 473 mL pack. Contact information for NuMision Phormaceutiodts, LLC is also 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.