Fluoxetine Tablet
Product Images NDC 13668-443

Product Visual Gallery

This gallery contains 6 technical images submitted to the FDA as part of the official labeling for Fluoxetine (NDC 13668-443). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Torrent Pharmaceuticals 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

10mglabel

The text describes a medication named Fluoxetine, which comes in the form of uncoated tablets that contain 10 mg of fluoxetine hydrochloride. It should be stored at a temperature between 20° to 25°C, although excursions permitted between 10 to 30°C are acceptable. It is necessary to keep them in a tight container with a child-resistant closure, and they require a prescription to dispense. Dosage instructions are found in the prescribing information, and each patient should be given an accompanying medication guide. The medication is produced by Torrent Pharmageliticals Ltd. in India and is distributed by Torrent Pharmia Inc. in Levittown, Pennsylvania.*

FDA Label Image

20mglabel

This is a medication information sheet for Fluoxetine, an antidepressant medication. Each tablet contains 20 mg of the active ingredient fluoxetine hydrochloride. It should be stored at room temperature and kept out of reach of children in a container with a child-resistant closure. The usual dosage should be determined by a healthcare professional. The medication is manufactured in India by Torrent Pharmaceuticals and distributed in the US by Torrent Pharma Inc. The package contains 30 tablets and is accompanied by a medication guide that should be given to the patient. This medication requires a prescription.*

FDA Label Image

Graph 1

FDA Label Image

Mg Logo

FDA Label Image

Pi Logo

FDA Label Image

Structure

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