Medi-first Plus Burn With Lidocaine Cream
Product Images NDC 47682-930

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Medi-first Plus Burn With Lidocaine (NDC 47682-930). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Unifirst First Aid Corporation, 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

20669 (20669 Burn Cream Water Jel 3 8 21 1)

This is a product description for an external analgesic burn cream that contains Lidocaine HCI 0.5% and Benzalkonium chioride 0.13%. The cream helps to provide temporary relief for pain and prevent infection for minor burns, scrapes, and bites. It is suitable and safe for use for adults and children above 2 years of age. Users are advised to contact a Poison Control Center immediately if the cream is ingested and avoid applying it too close to the eyes. The product comes in a package of 10 units with a net weight of 0.9g each.*

FDA Label Image

93973 (93973 Burn Cream Water Jel 3 8 21 2)

This is a drug fact sheet providing information for the Burn Cream with Lidocaine product. It is advised to consult a doctor before use and avoid using the product on deep or puncture wounds, animal bites or serious burns. The product contains various ingredients including Benzalkonium Chloride 0.13%, Lidocaine HCl 0.5%, and mineral oil. The cream should be applied on the affected area up to 3 times a day and covered with a sterile bandage. It is only for external usage and should not be used in the eyes or on large areas of the body. If symptoms persist for more than 7 days, it is recommended to report a serious adverse reaction or to contact the manufacturer's customer service.*

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