Product Images 0.025% Capsaicin Pain Relief Patch

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Product Label Images

The following 2 images provide visual information about the product associated with 0.025% Capsaicin Pain Relief Patch NDC 85323-001 by Xuzhou Lanting Pharmaceutical 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.

0.025 Capsaicin Pain relief Patch 85323-001-00 - 0.025 Capsaicin Pain relief Patch 85323 001 00

0.025 Capsaicin Pain relief Patch 85323-001-00 - 0.025 Capsaicin Pain relief Patch 85323 001 00

This is a description of Capsicum Patch, which is used for temporary relief of minor aches and pains of muscles and joints associated with backache, arthritis, strains, bruises, and sprains. The patch contains Capsaicin 0.025% as the active ingredient, which acts as a topical anesthetic. Directions for use include cleaning and drying the affected area before applying the patch, using only one patch at a time up to 3 to 4 times daily, and removing the patch after a maximum of 8-hour application. It also provides warnings such as avoiding use on wounds or damaged skin, not using more than one patch at a time, and consulting a doctor for children under 12 years of age. The manufacturer is Xuzhou Lanting Pharmaceutical Co., Ltd based in China.*

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300f5858 c132 9047 e063 6294a90a7e9a

This is a description of a Capsicum Patch for temporary relief of minor aches and pains of muscles and joints associated with conditions like simple backache, arthritis, strains, bruises, and sprains. The patch contains Capsaicin 0.025% as the active ingredient and provides topical anesthetic relief. Directions for application and usage, as well as warnings and precautions, are clearly stated on the packaging. The manufacturer is Xuzhou Lanting Pharmaceutical Co., Ltd, located in China.*

* 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.