Product Images Fluoxetine

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Fluoxetine NDC 42571-389 by Micro Labs Limited, 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.

fluoxetine-10lbl.jpg - fluoxetine 10lbl

fluoxetine-10lbl.jpg - fluoxetine 10lbl

This is a medication label for Fluoxetine, a drug used to treat depression, containing instructions for use, storage, and dispensing. The label also provides manufacturing information for the capsules and indicates that it should be kept in a tightly closed, child-resistant container at room temperature. The medication guide enclosed should be given to each patient. It is manufactured by Micro Labs in India and distributed by their US branch.*

fluoxetine-20lbl.jpg - fluoxetine 20lbl

fluoxetine-20lbl.jpg - fluoxetine 20lbl

Each capsule contains Fluoxetine hydrochloride, USP equivalent to 20mg of fluoxetine. Dosage instructions can be found in the accompanying literature. The capsules must be dispensed in a tightly closed, light-resistant container and stored between 15°C to 30°C (59°F to 86°F). Manufactured in India by a company named "Jjer Labs Limited" and packaged in Somerset, USA. Last revised in October 2021.*

fluoxetine-40lbl.jpg - fluoxetine 40lbl

fluoxetine-40lbl.jpg - fluoxetine 40lbl

This is a description of a medication called Fluoxetine. Each capsule contains 40mg of Fluoxetine hydrochloride. This medication must be kept in a tight light-resistant container, and the capsules should be stored between 20°C and 25°C (68°F to 77°F). A medication guide is included for each patient. This medication is prescription-only, and it is manufactured by Micro Labs USA, Inc. in Somerset, NJ.*

structure - fluoxetine structure

structure - fluoxetine structure

* 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.