Torsemide Tablet
Product Images NDC 50268-754

Product Visual Gallery

This gallery contains 5 technical images submitted to the FDA as part of the official labeling for Torsemide (NDC 50268-754). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Avpak, 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

Label 1 (Screen Shot 2014 10 08 At 3.47.40 Pm)

This text is a description of Torsemide tablets available in a 50-tablet pack. The pack contains 5 x 10 unit doses. The dosage instructions are not available as they are garbled due to errors. The text also contains some alphanumeric codes, probably for internal tracking purposes.*

FDA Label Image

Label 2 (Screen Shot 2014 10 08 At 3.47.50 Pm)

This is a description of a medication called Torsemide which comes in tablets of 10 mg. There are 50 tablets in each Unit Dose packet. The usual dosage information is not available but it appears to be prescribed for the treatment of some condition. The rest of the text is not readable.*

FDA Label Image

Label 3 (Screen Shot 2014 10 08 At 3.48.00 Pm)

The text describes Torsemide tablets of 20mg strength being sold by different pharmaceutical companies in different packaging sizes. One company sells it in bottles of 310 tablets, while another sells it in unit doses of 510 tablets. The rest of the text appears to be either incomplete or incomprehensible.*

FDA Label Image

Label 4 (Screen Shot 2014 10 08 At 3.48.10 Pm)

This is a description of a medication called Torsemide in tablet form, with a strength of 100mg for single use. It comes in a package of 50 tablets, divided into 5 x 10 dose packages. The other text appears to be scrambled and unreadable.*

FDA Label Image

Structure.jpg (Structure)

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