Product Images Quetiapine Fumarate

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Product Label Images

The following 5 images provide visual information about the product associated with Quetiapine Fumarate NDC 63187-269 by Proficient Rx Lp, 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.

63187-269-60 - 63187 269 60

63187-269-60 - 63187 269 60

This is a description of Quetiapine Fumarate 100mg tablets. The tablets are packaged by Proficient Rx LP and come in a pack of 30 tablets. They are yellow, round, biconvex, film-coated and have "100" engraved on one side and "Q" on the other. Each film-coated tablet contains Quetiapine Fumarate, equivalent to Quetiapine 100 mg SR. The manufacturer is Intas Pharmaceuticals Limited, located in Ahmedabad, India. The tablets must be stored at 20°C-25°C (66°F-77°F), and the medication must be kept out of the reach of children.*

Quetiapine 50mg - Quetiapine 50mg

Quetiapine 50mg - Quetiapine 50mg

This is a medication label for Quetiapine Fumarate tablets, a prescription medication used to treat mental/mood conditions such as schizophrenia and bipolar disorder. It provides dosage information and other details related to the medication. The medication guide enclosed should be given to each patient. The medication should be stored at room temperature and kept out of reach of children. The manufacturer is Intas Pharmaceuticals Limited based in Ahmedabad, India.*

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.