Product Images Quetiapine Fumarate

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Product Label Images

The following 7 images provide visual information about the product associated with Quetiapine Fumarate NDC 55154-3359 by Cardinal Health 107, Llc, 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.

bag label - 59d3dfdf 8ac0 478a ab31 cd55bd3ae785 00

bag label - 59d3dfdf 8ac0 478a ab31 cd55bd3ae785 00

This text provides information about a medication called Quetiapine, available in the form of Tablets, USP 200mg. The tablets are manufactured by Alkem Laboratories Ltd and distributed by Major Pharmaceuticals, and each tablet contains Quetiapine fumarate USP equivalent to 200mg of Quetiapine. The text includes dosage recommendations, prescribing information, precautions, and warnings, and directs users to a Medication Guide found at www.majorpharmaceuticals.com. The storage condition is also mentioned, and it is suggested to keep the medication away from children. It is available only with a prescription and is not child-resistant. The description indicates that the package contains 10 tablets, and the NDC number is 55154-3359-0.*

bag label - 59d3dfdf 8ac0 478a ab31 cd55bd3ae785 01

bag label - 59d3dfdf 8ac0 478a ab31 cd55bd3ae785 01

This is a package of Quetiapine tablets, USP 100 mg. The package contains 10 tablets, and each tablet contains quetiapine fumarate USP equivalent to 100 mg of quetiapine. The package insert contains dosage recommendations, important prescribing information, precautions, and warnings. It can be found at the website www.majorpharmaceuticals.com. The tablets should be stored at 25°C and kept out of reach of children. This package is not child-resistant and is intended for institutional use only. The manufacturer of the product is Alkem Laboratories Ltd, and it is distributed by Ascend Laboratories LLC, Major Pharmaceuticals, and Cardinal Health.*

bag label - 59d3dfdf 8ac0 478a ab31 cd55bd3ae785 02

bag label - 59d3dfdf 8ac0 478a ab31 cd55bd3ae785 02

This is a description of a medication called Quetiapine Tablets, USP with 50mg strength and 10 tablets available in the package. The tablets have quetiapine fumarate which is used for various mental health problems. It is recommended to read the insert found at majorpharmaceuticals.com which includes dosage recommendations, precautions, and warnings. The medication should be stored at room temperature (25°C). The package is unsuitable for homes with children and only for institutional use. The medication is manufactured in Mumbai, India, and distributed by Ascend Laboratories, MAJOR® Pharmaceuticals, and Cardinal Health.*

bag label - 59d3dfdf 8ac0 478a ab31 cd55bd3ae785 03

bag label - 59d3dfdf 8ac0 478a ab31 cd55bd3ae785 03

This is a medication packaging for Quetiapine Tablets, USP with a dosage of 26 mg. There are 10 tablets in each package, and each tablet contains quetiapine fumarate USP equivalent to 25 mg of quetiapine. The usual dosage and other important information can be found in the product insert. The package should be stored at room temperature between 15° to 30° C (59° o 86" F). This package is not child-resistant and is intended for institutional use only. It is manufactured by Alkem Laboratories Ltd and distributed by Ascend Laboratories LLC, Major Pharmaceuticals, and Cardinal Health.*

quetiapine-fig1 - quetiapine fig1

quetiapine-fig1 - quetiapine fig1

This is a graph showing Kaplan-Mcier Curves of Time to Recurrence of A Mood Event (Study 7) with the Proportion of Patients with Relapse (%) plotted against Time (weeks).*

quetiapine-fig2 - quetiapine fig2

quetiapine-fig2 - quetiapine fig2

The text provides a figure depicting Kaplan-Meier curves showing the proportion of patients with relapse over time (in weeks) in Study 8. It does not provide any further information or details.*

Structure - quetiapine stru

Structure - quetiapine stru

* 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.