Product Images Erythromycin
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Product Label Images
The following 5 images provide visual information about the product associated with Erythromycin NDC 67296-2128 by Redpharm Drug, 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.
Container label 31 - 31 label

This is a description of Erythromycin Ophthalmic Ointment USP, with a concentration of 0.5% and a net weight of 1g. It is sterile and for ophthalmic use only. Each gram contains 5 mg of Erythromycin USP. The packaging includes information on not reusing the ointment, discarding after opening, checking for lot number and expiration date, and not using if the cap seal is broken. The product is distributed by Ames Pharmaceuticals.*
35 label - 35 label

This is a description of Erythromycin ophthalmic ointment, used for eye infections. It contains 0.5% Erythromycin in a sterile base of mineral oil and white petrolatum. The usual dosage information is available in the package insert. It is recommended to store the ointment at 20° to 25°C and keep it tightly closed. The product is for ophthalmic use only and should be kept out of reach of children. The NDC code for this ointment is 72485-670.35.*
35 container - 35 container

This text provides information about the storage conditions, directions for use, and warning for an Erythromycin Ophthalmic Ointment USP 0.5%. It instructs to store the ointment at a temperature between 20°C to 25°C, protect from freezing, and avoid excessive heat. The ointment should be tightly closed and kept out of reach of children. The packaging includes the Lot Number and Expiry Date on the crimp of the tube. It is indicated for ophthalmic use only and contains Erythromycin USP in a sterile ophthalmic base of mineral oil and white petrolatum. The net weight is 3.5g (1802). The NDC number is 72485-670-35.*
* 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.