Formula Structure (Paroxetine Tablets 20mg 7985 30mg 8173 40mg 8174 Z 1)
Paroxetine Tablet, Film Coated
Product Images NDC 0615-7985
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Paroxetine (NDC 0615-7985). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Ncs Healthcare Of Ky, Llc Dba Vangard Labs, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.
Paroxetine 20mg Bingo Card Label (Paroxetine Tablets 20mg 7985 30mg 8173 40mg 8174 Z 2)
This is a package of Paroxetine tablets, USP of 20mg manufactured by Zhejiang for Solco. The lot number is 7985 with an EXP of 12406-39. The tablets are in a tight, light-resistant container. There is additional information written in a foreign language and there are various manufacturing dates and lot numbers. Dosage information is available in a package insert binder. This package is for institutional use only.*
Paroxetine 30mg Tab Bingo Label (Paroxetine Tablets 20mg 7985 30mg 8173 40mg 8174 Z 3)
This is a package insert for Paroxetine Tabs USP, containing dosage and manufacturing information for institutional use. It includes information on the controlled room temperature for storage.*
Paroxetine 40mg Tab Bingo Label (Paroxetine Tablets 20mg 7985 30mg 8173 40mg 8174 Z 4)
This appears to be a scanned image of a package of Paroxetine Tabs, 40mg. It includes information about dosage, manufacturing, storage, and dispensing. There are also numerous references to "Lotsra," "Lorsize," "Lotsine," "Lorsine," "Lorsiza," "Lorsizs," and "Lorst7e," among others, which may pertain to lot or batch numbers, but without a clearer context, it is difficult to determine.*
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.
