Product Images Milrinone Lactate

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 5 images provide visual information about the product associated with Milrinone Lactate NDC 0143-9709 by Hikma Pharmaceuticals Usa Inc., 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 - milrinone lactate injection 1

chemical structure - milrinone lactate injection 1

Milrinone Lactate Injection10 mg/10 mL - milrinone lactate injection 2

Milrinone Lactate Injection10 mg/10 mL - milrinone lactate injection 2

This appears to be a label for a pharmaceutical product called "MILRINONE LACTATE INJECTION" with a packaging size of 10mL. The product contains 1mg of Milrinone and is to be administered through a single dose injection. The text provides instructions on how to use the product and recommends storage at room temperature.*

Milrinone Lactate Injection20 mg/20 mL - milrinone lactate injection 3

Milrinone Lactate Injection20 mg/20 mL - milrinone lactate injection 3

Milrinone Lactate Injection50 mg/50 mL - milrinone lactate injection 4

Milrinone Lactate Injection50 mg/50 mL - milrinone lactate injection 4

NDC 0143970601 is the code for Milrinone lactate injection, which is available in 50 mg/50mL vials for intravenous use only. Each vial contains 1 mg/mL of milrinone and is mixed with water for injection, USP. The unused portion should be discarded. The usual dosage is described in the package insert. The storage temperature is 20-25°C (68-77°F) and should be protected from light.*

milrinone lactate injection 5

milrinone lactate injection 5

This text contains product identification information including a GTIN barcode, a serial number, an expiration date format and a lot number. It could be used for tracking and inventory purposes in a retail or manufacturing setting.*

* 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.