Product Images 3% Menthol Plus 0.083% Capsaicin Pain Relief Patch
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Product Label Images
The following 3 images provide visual information about the product associated with 3% Menthol Plus 0.083% Capsaicin Pain Relief Patch NDC 85323-008 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.
3 Menthol plus 0.083 Capsaicin Pain Relief Patch - pouch - 3 Menthol plus 0.083 Capsaicin Pain Relief Patch pouch

This is a description of an "Extra Strength Pain Relief Hot Patch" designed to provide fast-acting relief for minor aches and pains such as arthritis, strains, and bruises. The patch contains active ingredients like Menthol and Capsaicin. The product is for external use only and not to be applied to wounds or damaged skin. It should be applied to the affected area no more than 3 to 4 times daily. The manufacturer is Xuzhou Lanting Pharmaceutical Co., Ltd. It is important to keep the patch out of reach of children and contact a doctor if necessary. The patch is approximately 3.15x4.72 inches (8 cmx 12 cm).*
3 Menthol plus 0.083 Capsaicin Pain Relief Patch 85323-008-01 - 3 Menthol plus 0.083 Capsaicin Pain Relief Patch 85323 008 01

Description: The text is a label for a hot patch product designed for fast relief of minor aches and pains, including those caused by arthritis, strains, and bruises. The hot patch provides extra strength pain relief and comes in various sizes, such as 20mm, 80mm, 210mm, and 57mm. The design appears to emphasize the product's effectiveness in treating minor ailments efficiently.*
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This is a description of a hot patch pain relief product in different sizes: 20mm, 140mm, 80mm, and 210mm. The hot patch is designed for fast relief of minor arthritis aches and pains, strains, and bruises. It offers extra strength pain relief.*
* 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.