Product Images Enokon Pain Relief Patch

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 2 images provide visual information about the product associated with Enokon Pain Relief Patch NDC 83559-002 by Henan Enokon Medical Instrument Co Ltd., 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.

01 - Label1

01 - Label1

02 - Label2

02 - Label2

This is a description for a pain relief patch. The patch is 130.00 mm x 175.00 mm in size. It provides temporary relief for minor aches and pains, such as those associated with arthritis, muscle strains, and bruises. The patch contains Borneol, which is a topical analgesic. It is meant for external use only and should not be applied to wounds or damaged skin. Adults and children 12 years and older can apply the patch to the affected area for up to 12 hours at a time. Children under 12 years old should consult a doctor before use. The patch should be carefully applied to the affected area by removing the back protective film. It should not be bandaged tightly or used with a heating pad. The patch should be kept out of reach of children and should not come into contact with eyes or mucous membranes. Pregnant women, breastfeeding women, and those with severe chronic diseases or allergies to the ingredients should not use the patch. If the condition worsens, symptoms persist for more than 7 days, or skin irritation develops, it is advised to stop using the patch and consult a doctor. The patch should be stored in a cool, dry, and well-ventilated place, away from direct sunlight. The patch contains various inactive ingredients, and it is produced by Henan Enokon Medical Instrument Co., Ltd, located in Henan, China. The lot number and expiration date can be found on the sealing or outer box. The method of use is not clear from the text provided.*

* 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.