Product Images Paroxetine

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Paroxetine NDC 0615-7985 by Ncs Healthcare Of Ky, Llc Dba Vangard Labs, 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.

Formula structure - paroxetine tablets 20mg 7985 30mg 8173 40mg 8174 z 1

Formula structure - paroxetine tablets 20mg 7985 30mg 8173 40mg 8174 z 1

Paroxetine 20mg bingo card label - paroxetine tablets 20mg 7985 30mg 8173 40mg 8174 z 2

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

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

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.*

* 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.