Antimicrobial Hand Wash Soap
Product Images NDC 0404-5987

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Antimicrobial Hand Wash (NDC 0404-5987). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Henry Schein, Inc., these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Principal Display Panel – 1.68 mL Packet (Hen06 0000 02)

Principal Display Panel – 1.68 mL Packet (Hen06 0000 02)
This is a description for a Henry Schein's Maxiclens Antimicrobial Hand Wash with PCMX. This hand wash is intended for decreasing bacteria on the skin with its antiseptic property that comes from 0.6% Chloroxylenol. The product should be used externally only and should be kept away from the eyes. In case of ingestion, a Poison Control Center should be contacted immediately. The hand wash contains ingredients such as aloe vera, cocamide DEA, germaben Il, and vitamin E acetate. Apply 5ml of the product to hands and forearms for best results. Please contact your Henry Schein sales representative to order.*
FDA Label Image

Principal Display Panel – 800 mL Box (Hen06 0001 01)

Principal Display Panel – 800 mL Box (Hen06 0001 01)
Maxiclens Ey Antimicrobial Hand Wash by Henry Schein is a gentle and effective solution to protect against germs. It contains PCMX and a pleasant fragrance that is gentle on the skin. This hand wash comes in a Bag-n-Box system which ensures that it is easy to install using the dispenser. The software also detects some installation instructions for the manual dispensers. However, it is not possible to extract a clear meaning from the rest of the text.*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.