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  5. Product Images: Paroxetine

Product Images Paroxetine

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 5 images provide visual information about the product associated with Paroxetine NDC 50268-640 by Avpak, 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.

label 1 - Screen Shot 2016 03 11 at 11.27.05 AM

label 1 - Screen Shot 2016 03 11 at 11.27.05 AM

Paroxetine Tablets, USP is a medication used for the treatment of depression, anxiety disorders, and obsessive-compulsive disorder. The result seems to have some errors and inconsistencies, but it indicates that the medicine comes in a 50-tablet bottle (50Tbiot/50Tablets) with a 5mg to 10mg (5 10) unit dose, and may be available under the brand name "Reonly". However, since the text is not consistent and contains some typos, it is recommended to verify this information with a reliable source before use.*

label 2 - Screen Shot 2016 03 11 at 11.27.23 AM

label 2 - Screen Shot 2016 03 11 at 11.27.23 AM

Paroxetine Tablets, USP are a medication with a dosage of 20mg per tablet. The pack contains 50 tablets with a unit dose of 10. It is a prescription drug and its packaging has the name AVPAK and a code W072000W.*

label 3 - Screen Shot 2016 03 11 at 11.27.39 AM

label 3 - Screen Shot 2016 03 11 at 11.27.39 AM

Paroxetine Tablets, USP is a medication used for the treatment of depression, anxiety disorders, and other mental illnesses. The available package contains 50 tablets with a specific dose. However, the provided text also includes some gibberish characters, making it unclear.*

label 4 - Screen Shot 2016 03 11 at 11.27.54 AM

label 4 - Screen Shot 2016 03 11 at 11.27.54 AM

Paroxetine Chemical Structure - paroxetine str

Paroxetine Chemical Structure - paroxetine str

* 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.