Product Images Hydrocortisone

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Product Label Images

The following 5 images provide visual information about the product associated with Hydrocortisone NDC 45802-014 by Padagis Israel Pharmaceuticals 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 medication called Hydrocortisone Ointment USP, produced by a company called Perrigo. The medication comes in a tube that contains 20g of ointment, which is made up of hydrocortisone and a base of light mineral oil and white petrolatum. The directions for use recommend applying it 2-4 times a day. The NDC number is 45802-014-02 and there are instructions for puncturing the tube. It should be stored below 25°C and kept out of the reach of children. Expired medication should be discarded.*

hydrocortisone-cream.jpg - hydrocortisone cream

hydrocortisone-cream.jpg - hydrocortisone cream

This is a description of a Hydrocortisone Cream USP. The cream contains 25 mg of hydrocortisone in a ream base. The usual dosage is apply 2-4 times a day. The cream comes in a tube with a net weight of 28 and its NDC number is 45802-004-03. The cream contains cetyl alcohol, methyaraben, ropyere yco, ropyiparaten, purified water, Sodum aury sufae, and steayl acono. There are some storage instructions and directions for puncturing the tube.*

Chemical Formula - image 01

Chemical Formula - image 01

serialization template 01

serialization template 01

This text is a product information form that requires the user to insert the product's serial number, lot number, and expiration date. It does not provide any other information.*

serialization template

serialization template

This text is a template for including the serial number, lot number, and expiration date of a product. It can be used to label or identify items in a manufacturing or distribution system.*

* 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.