Product Images 5% Menthol Pain Relief Patch
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Product Label Images
The following 3 images provide visual information about the product associated with 5% Menthol Pain Relief Patch NDC 85323-007 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.
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This is a description of a medicated patch product, containing ingredients such as menthol and camphor. The patch is designed for pain relief and comes in a specific size of 140x80x210mm. The text indicates that it is an extra strength medicated patch suitable for cold and hot therapy.*
5 Menthol Pain Relief Patch 85323-007-01 - 5 Menthol Pain Relief Patch 85323 007 01
This is a description for a Medicated Patch product that offers extra strength for pain relief. The patch contains Menthol and other ingredients designed for both hot and cold therapy. The product dimensions are approximately 140x80x210mm with adhesive pads that are breathable. It is suitable for use as a pain relieving ointment, making it a convenient option for treating discomfort.*
82635 cold hot medicated patch - pouch - 82635 cold hot medicated patch pouch
This is a description of a medication patch designed for pain relief. It contains active ingredient Menthol 5% and is meant for external use only. The patch is flexible and offers fast relief for minor aches and pains in muscles and joints. It is advised not to bandage tightly or use with a heating pad, avoid contact with eyes, wounds, or damaged skin. The patch should be applied to the affected area for up to 8 hours and used no more than 3 to 4 times daily. Consult a doctor for children under 12 years of age. The product should be stored at room temperature. Manufacturer information is provided from Xuzhou Lanting Pharmaceutical Co., Ltd located in Jiangsu, 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.
