Hydrocortisone Ointment
Product Images NDC 37808-471

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Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Hydrocortisone (NDC 37808-471). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by H E B, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

Product Images & Figures Index

FDA Label Image

Heb 1% Hydrocortisone Ointment 1 (Image 01)

Heb 1% Hydrocortisone Ointment 1 (Image 01)
This text appears to be a comparison of an active ingredient to Cortizone+10®*, with a 1% Hydrocortisone Ointment. The Anli-itch Ointment is used for various skin conditions, such as eczema, psoriasis, seborrheic dermatitis, insect bites, and poison ivy, oak, and sumac. The NDC number for this ointment is 37808-471-64, and it comes in a 10oz (28g) tube.*
FDA Label Image

Heb 1% Hydrocortisone Ointment Image 2 (Image 02)

Heb 1% Hydrocortisone Ointment Image 2 (Image 02)
This is a Drug Facts label for a product containing 1% Hydrocortisone. It can be used to temporarily relieve itching associated with minor skin irritations, inflammation, and rashes due to eczema, psoriasis or poison ivy. It may also temporarily relieve external anal and genital itching. The product should not be used for the treatment of diaper rash or in the genital area if there is vaginal discharge. The product should also not be put directly into the rectum. If symptoms persist for more than 7 days or if rectal bleeding occurs, stop using and consult a doctor. The label provides instructions for use for different age groups and warnings to avoid contact with eyes and to keep out of reach of children. The label lists the inactive ingredients and provides a number for questions or comments.*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.