Product Images External Analgesic

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 2 images provide visual information about the product associated with External Analgesic NDC 70927-001 by Hmong 21, 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.

image description - HenanKangdi Analgesic Label Back22

image description - HenanKangdi Analgesic Label Back22

This is a drug facts label for a pain relief medication that contains Pun, Camphor, Capsicum, and Menthol. It is an external analgesic solution that provides temporary relief for minor aches and pains. It is intended for use on muscles and joints associated with simple backache, arthritis, strains, bruises, and sprains. The product contains warnings related to external use only, avoiding contact with the eyes, not applying to wounds or damaged skin, not bandaging tightly, and contacting a doctor if the condition worsens or symptoms persist for more than seven days. Adults and children over 12 years old should use this medication by cleaning and drying the affected area, peeling off the backing film, and applying to the area not more than three times a day. Children under 12 years require a doctor's consultation. The product also contains inactive ingredients such as water, sodium polyacrylate, and acetic acid. The medication is manufactured in China by Henan Kangdi Medical Devices Co, Ltd and distributed by Hmong 21 in Minneapolis, MN. The package is not child-resistant, and users should only use the product as directed.*

image description - HenanKangdi Analgesic Label front2

image description - HenanKangdi Analgesic Label front2

This is a description of a pain relief patch called "S AL ANALGES|E PATCH". The patch is designed to relieve muscle pain and measures 4.7 x 7 inches (12 x 18 cm).*

* 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.