4% Lidocaine Pain Relief Patch
Product Images NDC 85323-002

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for 4% Lidocaine Pain Relief Patch (NDC 85323-002). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Xuzhou Lanting Pharmaceutical Co., Ltd, 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

300dda1a 6046 4bf8 E063 6394a90a9ff5

This text contains information about a Pain Relief Patch with Maximum Strength Lidocaine for temporary relief of pain due to desensitizing aggravated nerves. The patch is comfortable to wear and stays in place, measuring 3-16/16"x5-1/2" (10cmx14cm) each. The patch contains 4% Lidocaine as the active ingredient and provides topical anesthesia for pain relief. It should be applied on the affected area after cleaning and drying it. The product should be kept out of reach of children and used as directed. The manufacturer is Xuzhou Lanting Pharmaceutical Co., Ltd from China.*

FDA Label Image

4 Lidocaine Pain Relief Patch 85323-002-00 (4 Lidocaine Pain Relief Patch 85323 002 00)

This is a product description for a Maximum Strength Lidocaine Pain Relief Patch. The patch is designed to desensitize aggravated nerves for temporary pain relief. It is made with a comfortable fabric that stays in place and each patch is individually packaged. The active ingredient is Lidocaine 4%, a topical anesthetic. The patch should be applied by removing it from the outer package, peeling the protective film, and placing it on the affected area. The product is for external use only and should not be used on open wounds or irritated skin. It is advised to keep the patch away from children and to follow the directions for use provided on the packaging.*

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