Fluconazole Tablet
Product Images NDC 55111-145

Product Visual Gallery

This gallery contains 10 technical images submitted to the FDA as part of the official labeling for Fluconazole (NDC 55111-145). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Dr. Reddy's Laboratories Limited, 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

Card (Card)

Fluconazole Tablet USP, 150 mg is an effective prescription medication for vaginal yeast infections. It can be taken with or without food, and symptoms may improve within 3 days. Common side effects include headache and sleep disturbances. It is important to note that patients may experience symptoms within 24 hours of taking the medication. The package contains a single tablet, and the usual dosage is indicated in the accompanying prescribing information. Patients should consult their doctor or pharmacist for more information.*

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Fluconazole Tablets, USP 100 mg are available, but no further information is provided.*

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Fluconazole is a prescription medication that comes in a package of 12 tablets, each tablet containing 150 mg of the active ingredient. This medication is manufactured by Dr. Reddy's Laboratories, and is intended for oral use only. This package is labeled with the NDC code 55111-145-12, and a QR code is provided to access further patient information. Dosage instructions are not included on the package and should be obtained from accompanying information.*

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Container1 (Container1)

This is a description of a medication named Fluconazole in the form of tablets with a strength of 50 mg. The package includes 100 tablets. The NDC number is 55111-143-01. There is some unreadable text at the beginning and end of the provided text.*

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Picture (Picture)

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Structure (Structure)

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