Mirtazapine Tablet, Film Coated
Product Images NDC 65862-032

Product Visual Gallery

This gallery contains 5 technical images submitted to the FDA as part of the official labeling for Mirtazapine (NDC 65862-032). 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 (7.5 mg (100 Tablet Bottle))

FDA Label Image

Package Label-principal Display Panel (15 mg (100 Tablet Bottle))

This is a description of a medication called Mirtazapine manufactured by Aurabindo Pharma USA, Inc. Each tablet of Mirtazapine contains 15 mg and must be kept in a light-resistant container at 25°C (77°F), with an allowance for temperatures between 16°C to 30°C. The prescribing information must be read before taking the medication, and a medication guide is provided separately. The medication is made in India and dispensed with a code of TSDRUGS19/1083. The remaining text is not legible.*

FDA Label Image

Package Label-principal Display Panel (30 mg (100 Tablet Bottle))

This is a prescription drug called Mirtazapine. The tablets contain 30mg of Mirtazapine USP. The usual dosage has to be read from the enclosed prescribing information. It should be dispensed in a tight, light-resistant container, and stored at a controlled room temperature of 25°C (77°F). The medication guide is provided separately. This drug is distributed by Aurobindo Pharma USA, Inc. and is made in India. The text includes some codes and a warning not to print the dotted lines in the printing zone.*

FDA Label Image

Package Label-principal Display Panel (45 mg (100 Tablet Bottle))

FDA Label Image

Chemical Structure (Mirtazapine Str)

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