Thompson Burn Cream With Lidocaine Cream
Product Images NDC 73408-985

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Thompson Burn Cream With Lidocaine (NDC 73408-985). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Thompson Safety, 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

Cs93973 Burn Cream 10-20-23 Nantong Label (Cs93973 Burn Cream 10 20 23 Nantong Label)

This is a description of a burn cream with lidocaine and benzalkonium chloride as active ingredients. It is designed to help prevent infection in minor cuts, scrapes, and burns, as well as provide relief from pain and itching associated with sunburns, insect bites, and minor skin irritations. The cream should be used externally only, and users are advised to seek medical help if the condition worsens or persists for more than 7 days. The product comes in 0.9g packets and is distributed by Thompson Safety.*

FDA Label Image

Cs93973 Burn Cream 10-20-23 Safetec Of America Label (Cs93973 Burn Cream 10 20 23 Safetec Label)

This text provides drug facts for a burn cream with lidocaine, an antiseptic, and pain-relieving cream for minor cuts, scrapes, and burns. It contains active ingredients such as Benzalkonium Chloride and Lidocaine HCl for their specific purposes. The cream helps prevent infection in minor skin injuries and provides temporary relief from pain and itching associated with sunburns, insect bites, minor burns, scrapes, and skin irritations. The text also includes warnings, directions for use, and information on inactive ingredients. It is essential to keep the cream out of reach of children, and in case of ingestion, immediate medical help is advised.*

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