Product Images Maximum Strength Cortisone

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Product Label Images

The following 2 images provide visual information about the product associated with Maximum Strength Cortisone NDC 69842-259 by Cvs Pharmacy, 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.

Carton - 1 oz CVS Hydrocortisone Ointment Carton

Carton - 1 oz CVS Hydrocortisone Ointment   Carton

Drug Facts: Hydrocortisone cream is used for the temporary relief of itching associated with minor skin irritations, inflammation, and rashes due to eczema, insect bites, poison ivy, poison oak, poison sumac, soaps, laundry detergents, cosmetics, psoriasis, seborrheic dermatitis, external genital, feminine and anal itching. However, don't use this product without a doctor's advice for other uses. This cream is intended for external use only. Keep out of reach of children. If swallowed, get medical help or contact a Poison Control Center right away. The cream should be used only as directed, not more than 3-4 times a day for adults and children, and not for children under 2 years of age. It is also important to consult a doctor before using it for external anal itching. If symptoms last for more than 7 days or the condition worsens or clears up and occurs again in a few days, consult a doctor.*

Tube - Tube Label

Tube - Tube Label

Maximum Strength Cortisone Ointment by CVSHealth is an anti-itch ointment available in a net weight of 28.102 grams. It contains Hydrocortisone, USP 1% and is meant for external use only. The ointment can be used to treat various skin conditions like rashes, however, it cannot be used if the person has a vaginal discharge. It is suggested to use the ointment after consulting a doctor and one should be careful while using it around the eye area. The product details are printed alongside precautions and instructions to use.*

* 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.