Product Images Avon Hexashield Arthritis Pain Relief Cream Capsaisin

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Product Label Images

The following 2 images provide visual information about the product associated with Avon Hexashield Arthritis Pain Relief Cream Capsaisin NDC 43136-101 by Tai Guk Pharm. 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.

capsaicin - AVON ARTHRITIS PAIN RELIEF CREAM CAPSAICIN 1

capsaicin - AVON ARTHRITIS PAIN RELIEF CREAM CAPSAICIN 1

F HeXashield is a high potency topical arthritis pain relief cream with capsaicin (0.075%) that provides deep penetrating and odor-free relief for pains of muscles and joints. It is effective for sprains, strains, and arthritis. The cream is sold in a 1.5 oz (42.5 g) tube and is distributed by New Avon LLC. The product is made in Korea and has a unique number that might be a batch or serial number. The rest of the text seems to be unintelligible and does not provide any meaningful information.*

capsaicin df - AVON ARTHRITIS PAIN RELIEF CREAM CAPSAICIN 2 DF

capsaicin df - AVON ARTHRITIS PAIN RELIEF CREAM CAPSAICIN 2 DF

This is a Drug Facts label containing information about a topical analgesic used for temporary relief of minor aches and pains of muscles and joints associated with arthritis, simple backache, and bruises. The product contains active ingredients and several inactive ingredients that are listed. It recommends that the product should be used as directed, with children under 18 years seeking the advice of a doctor. The product should not be applied to broken or damaged skin or wounds, and care should be taken to avoid contact with eyes or mucous membranes. If a burning sensation becomes severe or persists, the product should be discontinued. LOT & EXP information is found on the tube, and contact information for customer questions and comments is 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.