Product Images Furosemide

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Furosemide NDC 55154-5539 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.

Furosemide Structural Formula - 152218f4 8887 42ac 838c 7340b0a553a8 01

Furosemide Structural Formula - 152218f4 8887 42ac 838c 7340b0a553a8 01

1d3cc9ab 60e9 4778 a35b 56aed2ad7312 00

1d3cc9ab 60e9 4778 a35b 56aed2ad7312 00

This is a bottle of Furosemide Tablets, USP 40mg, manufactured by Mylan Pharmaceuticals Inc., that contains 10 white round scored tablets marked with "MYLAN" over "216" on one side and "40" on the other side. Each tablet contains 40mg of furosemide, USP, and appears yellow in an amber blister. It is a prescription drug that requires a product insert for prescribing information, precautions, and warnings. The bottle should be stored at 20° to 25° C (68° to 77° F) and protected from light. It is intended for institutional use only and not for children. The drug is distributed by Mylan Institutional Inc. through Cardinal Health in Dublin, OH.*

1d3cc9ab 60e9 4778 a35b 56aed2ad7312 01

1d3cc9ab 60e9 4778 a35b 56aed2ad7312 01

This is a description of Furosemide Tablets, USP. Each tablet contains 20mg of furosemide, USP and is white and round, with the "M2" marking on one side. The tablets should be stored at a controlled room temperature of 20° to 25°C, protected from light. The package is not child-resistant and intended for institutional use only. Mylan Pharmaceuticals Inc. manufactured the tablets and they are distributed by Mylan Institutional Inc. and Cardinal Health. The usual dosage should be consulted with the product insert for prescribing information, precautions, and warnings.*

* 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.