Fluoxetine Tablet, Film Coated
Product Images NDC 59651-308

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Fluoxetine (NDC 59651-308). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

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

FDA Label Image

Package Label-principal Display Panel (10 mg (30 Tablets Bottle))

Package Label-principal Display Panel (10 mg (30 Tablets Bottle))
This is a description of Fluoxetine Tablets. It contains 30 tablets of 10 mg of fluoxetine, and it is only available through a prescription. The medication guide must be provided to each patient before dispensing. The medication should be kept in a light-resistant container and in a controlled environment. It should also be kept away from children. The distributor of the medication is Aurobindo Pharma USA, Inc. It was manufactured in India according to code TS/DRUGS/16/2014.*
FDA Label Image

Package Label-principal Display Panel (20 mg (30 Tablets Bottle))

Package Label-principal Display Panel (20 mg (30 Tablets Bottle))
This is a description of Fluoxetine Tablets, USP medication with NDC code 59651-309-30, which can only be prescribed by a doctor. It consists of 30 film-coated tablets, each containing 20 mg of Fluoxetine hydrochloride USP. It is advisable to dispense the provided Medication Guide with the drug. The package needs to be tightly closed and kept away from children in a container defined by USP. The distributor of this medication is Aurobindo Pharma USA, Inc. It is made in India and should be stored at 20° to 25°C.*
FDA Label Image

Chemical Structure (Fluoxetine Str)

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