Product Images Ondansetron

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 5 images provide visual information about the product associated with Ondansetron NDC 63187-199 by Proficient Rx Lp, 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.

Ondansetron HCl Structural Formula - d8d0b9e9 e922 4f46 92d5 22947ff7e9f3 01

Ondansetron HCl Structural Formula - d8d0b9e9 e922 4f46 92d5 22947ff7e9f3 01

Structural Formula of Ondansetron Base - d8d0b9e9 e922 4f46 92d5 22947ff7e9f3 02

Structural Formula of Ondansetron Base - d8d0b9e9 e922 4f46 92d5 22947ff7e9f3 02

Glenmark logo - d8d0b9e9 e922 4f46 92d5 22947ff7e9f3 03

Glenmark logo - d8d0b9e9 e922 4f46 92d5 22947ff7e9f3 03

This is a pharmaceutical company called Glenmark.*

63187-256-20 - image 01

63187-256-20 - image 01

This is a bottle of Ondansetron ODT 4mg tablets with 20 tablets in the bottle, manufactured by Glenmark Pharmaceuticals Ltd. The tablets are white, circular, flat faced, and uncoated with the letter ‘G’ engraved on one side and ‘4’ on the other side. The product ID is RO025620, and it is stored at 20°-25°C (68°-77°F). The lot number is 00000, the expiration date is 00/00/00, and it requires a prescription. The drug is relabeled by Proficient Rx LP in Thousand Oaks, CA 91320.*

Ondansetron 8mg - image 02

Ondansetron 8mg - image 02

This is a description of medication containing ondansetron ODT 8mg, a medication used for nausea and vomiting. The medication comes in a pack of 10 tablets, with lot and serial numbers. The manufacturer is listed as Glenmark Generics Ltd in India, which was relabeled by Proficient Rx LP. The tablets are circular, white, and uncoated, with "G" print on one side and "8" on the other. The medication should be stored at a temperature between 20°C to 25°C and kept away from children.*

* 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.