Product Images Metolazone

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Metolazone NDC 65580-643 by Upstate Pharma, 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.

Chemical Structure - metolazone 01

Chemical Structure - metolazone 01

PRINCIPAL DISPLAY PANEL - 2½ mg Bottle Label - metolazone 02

PRINCIPAL DISPLAY PANEL - 2½ mg Bottle Label - metolazone 02

This is a warning about not interchanging different drug formulations of metolazone mlflm USP or Zoroxolyn® as well as the Mykrox® formulations. The package circular should be referred to for indications and dosage information. The storage temperature should be kept between 15°C-30°C and light should be avoided. The product contains 100 tablets and is manufactured by UPSTATE in Rochester, NY.*

PRINCIPAL DISPLAY PANEL - 5 mg Bottle Label - metolazone 03

PRINCIPAL DISPLAY PANEL - 5 mg Bottle Label - metolazone 03

This appears to be a medication label with dosage instructions and warnings for a product similar to Upstate's Mechuzone Fabes USP and Metolazone Tablets USP. The label specifies that formulations equivalent to Taroxolyn and Mykrox should not be interchanged. It also provides the recommended storage temperature and advises to protect the medication from light and keep it out of reach of children.*

PRINCIPAL DISPLAY PANEL - 10 mg Bottle Label - metolazone 04

PRINCIPAL DISPLAY PANEL - 10 mg Bottle Label - metolazone 04

This is information about Metolazone Tablets, USP manufactured by Upstate. It warns not to interchange formulations of this drug with other brands and provides storage instructions. The package circular contains information about indications and dosage. The product contains 10mg of the drug and comes in a bottle of 100 tablets.*

* 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.