Product Images Quetiapine Fumarate

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 5 images provide visual information about the product associated with Quetiapine Fumarate NDC 64725-0145 by Tya Pharmaceuticals, 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 Image - 64725 0145

Label Image - 64725 0145

This is a description of medication in form of tablets with the active ingredient Quetiapine Fumarate at a strength of 25mg. The package contains 30 tablets and it requires a prescription. The packaging was done by T.Y.A. Pharmaceuticals and the original manufacturer was Intas Pharma. The lot number is provided as well as details for the manufacturer and the repackager. The recommended dose is provided on the package insert.*

Label Image - 64725 0148

Label Image - 64725 0148

This is a description of a medication named Quetiapine Fum. It is a tablet containing 200mg of the medication and there are 100 tablets in the bottle. The medication is prescribed by a doctor as it is only available through a prescription. There is a lot number on the bottle with an expiration date. It was manufactured by Intas Pharma but repackaged by 7.Y.A. Pharmaceuticals, a company located in Tallahassee, FL. There is a phone number for the repackaging company provided. Instructions on the dosage can be found on the package insert.*

Figure 1 Kaplan-Meier Curves of Time to Recurrence of A Mood Event (Study 7) - quetiapine fig1

Figure 1 Kaplan-Meier Curves of Time to Recurrence of A Mood Event (Study 7) - quetiapine fig1

Figure 2 Kaplan-Meier Curves of Time to Recurrence of A Mood Event (Study 8) - quetiapine fig2

Figure 2 Kaplan-Meier Curves of Time to Recurrence of A Mood Event (Study 8) - quetiapine fig2

chemstructure - quetiapine str

chemstructure - quetiapine 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.