Package Label-principal Display Panel (7.5 mg (100 Tablet Bottle))
Mirtazapine Tablet, Film Coated
Product Images NDC 57237-008
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 5 technical images submitted to the FDA as part of the official labeling for Mirtazapine (NDC 57237-008). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Rising Pharma Holdings, Inc., these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.
Package Label-principal Display Panel (15 mg (100 Tablet Bottle))
Package Label-principal Display Panel (30 mg (100 Tablet Bottle))
Rising® N0c57237-009-30 is a medication containing 30mg of Mirtazapine USP. The usual dosage is enclosed and made in India, and prescribing information can be found on the tablet. The tablets are marked with the code TS/DRUGS/19/1093, and should be dispensed in a tight, light-resistant container as described in the USP. The medication guide is provided, and the tablets should be stored at between 15°C to 30°C. This information was last revised on 12/12/2019.*
Package Label-principal Display Panel (45 mg (100 Tablet Bottle))
Rising® N0c57237-010-30 is a medication distributed by Rising Health, LLC. Each tablet contains 45 mg of Mirtazapine USP. It is recommended to read the enclosed prescribing information for the usual dosage. It is coded as TS/DRUGS/19/1093 Tablets, USP. The medication should be dispensed in a tight, light-resistant container as described in the USP. The pharmacist should dispense the medication with the medication guide provided. Store at 25°C (77°F); excursions permitted to 15° to 30°C (59° to 86°F) [see USP Controlled Room Temperature]. This text seems to be a medication label.*
Chemical Structure (Mirtazapine Str)
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.
