Pain Relief Gel-patch
Product Images NDC 73557-176

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 Pain Relief Gel-patch (NDC 73557-176). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Shanghai Chuangshi Medical Technology (group) 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.

Product Images & Figures Index

FDA Label Image

Box (Box)

Box (Box)
This is a description of a pain relief gel-patch containing active ingredients such as Lidocaine and Menthol for desensitizing aggravated nerves and providing temporary pain relief for areas like shoulders, knees, and elbows. The gel-patch should be applied to the affected area by removing the protective film and pressing it onto the skin. It is advised to consult a healthcare professional before use if pregnant or breastfeeding. The product is manufactured by Shanghai Chuangshi Medical Technology in China and comes in individually packaged patches.*
FDA Label Image

Patch (Patch)

Patch (Patch)
This is a description of a pain relief Gel-Patch called ZEEY®, containing Lidocaine and Menthol as active ingredients for desensitizing nerves and providing temporary pain relief for areas like the back, neck, knees, and elbows. The patch is fast-acting and comes in a size of 4.72" x 7.87" (12cm x 20cm). Directions for use include applying to clean and dry skin, using one patch at a time, and not exceeding 3 to 4 times daily. Precautions include keeping out of reach of children, avoiding contact with eyes, and storing in a cool, dry place. Developed by SHANGHAI CHUANGSHI MEDICAL TECHNOLOGY (GROUP) CO., LTD in China.*

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