Quetiapine Fumarate Tablet
Product Images NDC 71610-141

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 9 technical images submitted to the FDA as part of the official labeling for Quetiapine Fumarate (NDC 71610-141). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Aphena Pharma Solutions - Tennessee, Llc, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Bottle Label 300 mg (71610 0127 18)

Bottle Label 300 mg (71610 0127 18)
This is a bottle of Quetiapine, containing 3000 tablets of 300mg each, indicated for prescription use only. No other information is available.*
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Bottle Label 200 mg (71610 0128 15)

Bottle Label 200 mg (71610 0128 15)
This is a medication called Quetiapine, with a strength of 200mg and comes in a package with 15 tablets.*
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Bottle Label 100 mg (71610 0136 15)

Bottle Label 100 mg (71610 0136 15)
This appears to be a prescription label for Quetiapine 100mg tablets, with 15 tablets in the bottle. The manufacturer seems to be WoS ors Pramacetca oy, and the product code is OT 3055.*
FDA Label Image

Bottle Label 25 mg (71610 0140 30)

Bottle Label 25 mg (71610 0140 30)
This is a medication description for Quetiapine, which is available as 25mg tablets with a quantity of 30 tablets per bottle. The location of the pharmacy or vendor that sold the medication is listed as Columbus, Ohio.*
FDA Label Image

Bottle Label 400 mg (71610 0141 18)

Bottle Label 400 mg (71610 0141 18)
This is a listing for Quetiapine tablets with a dosage strength of 400mg and a quantity of 3000 tablets. No further information is available.*
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Aphena Pharma Solutions (TN)

FDA Label Image

Chem.jpg (Chem)

FDA Label Image

Fig1.jpg (Fig1)

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Fig2.jpg (Fig2)

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.