Product Images Up And Up Hydrocortisone

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Product Label Images

The following 2 images provide visual information about the product associated with Up And Up Hydrocortisone NDC 11673-057 by Target Corporation, 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.

973-uw-hydrocortisone cream-1.jpg - 973 uw hydrocortisone cream 1

973-uw-hydrocortisone cream-1.jpg - 973 uw hydrocortisone cream 1

This is a description of a medication labeled as NDC 11673-057-64. The medication is a hydrocortisone cream with 1% strength, plus 10 moisturizers for itch relief. It is described as a maximum strength anti-itch cream, which relieves itch fast, and is recommended by doctors. The product weighs 1 oz and is not manufactured or distributed by Target Corporation, but by Chattem, Inc., the owner of the registered trademark Cortizone10. The text includes a barcode with the number 3700307625741 and some other details.*

973-uw-hydrocortisone cream-2.jpg - 973 uw hydrocortisone cream 2

973-uw-hydrocortisone cream-2.jpg - 973 uw hydrocortisone cream 2

This is a drug facts label that outlines the uses, warnings, and directions for a medication containing Hydracortisane 1%. It can be used to relieve a temporary itching sensation, inflammation, rashes, and other minor skin irritations related to conditions such as eczema, psoriasis, oak sumac, insect bites, and detergents. However, the product should be used under the advice and supervision of a doctor. The label warns that the medication should only be used externally and not put directly into the rectum. Keep out of reach of children and seek medical attention or contact a Poison Control Center if swallowed. The product has specific directions for use depending on the age of the user and the type of itching or irritation being treated. Inactive ingredients are also listed.*

* 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.