Product Images Handsoap

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 2 images provide visual information about the product associated with Handsoap NDC 51316-703 by Cvs Pharmacy, 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.

11.25 OZ - 06 25448 49 322521 CVSBB AntibacHandSoap 11.25oz Clean R7 Rev01 NDC CMYK Artboard 1 copy

11.25 OZ - 06 25448 49 322521 CVSBB AntibacHandSoap 11.25oz Clean R7 Rev01 NDC CMYK Artboard 1 copy

This text describes a liquid hand soap that contains 0.13% Benzalkonium Chloride as an active ingredient, which helps eliminate bacteria on hands. The soap comes with a warning to avoid contact with eyes and specifies that the product is for external use only. The inactive ingredients include various cleansing agents, fragrances, and dyes. The soap is manufactured by VS Pharmacy and distributed by the Cagtr-aimae Drive Company. The text also includes details regarding vendor responsibilities, pre-press requirements, and information on the packaging process.*

56 OZ - 06 25460 61 262246 CVSBB AntibacHandSoap 56oz Clean R7 Rev01 NDC CMYK Artboard 1 copy

56 OZ - 06 25460 61 262246 CVSBB AntibacHandSoap 56oz Clean R7 Rev01 NDC CMYK Artboard 1 copy

This is a description for a liquid hand soap product. The soap is antibacterial and helps eliminate bacteria on the hands. It is for external use only and should be kept out of reach of children. In case of ingestion or contact with the eyes, medical attention should be sought immediately. The soap should be applied to wet hands, lathered, and then thoroughly rinsed. It is stored at room temperature and contains inactive ingredients such as water and fragrances. The UPC number is 050428393918. The vendor can be contacted with any questions. The document also includes pre-press requirements for printing the product label.*

* 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.