Product Images Multitrace-5

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Multitrace-5 NDC 0517-8510 by American Regent, 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.

Container - multitrace 5 1

Container - multitrace 5 1

The text describes the contents of an injection, including trace elements such as Zinc, Copper, Manganese, Chromium, and Selenium. Each milliliter of the injection contains Zinc Sulfate, Cupric Sulfate, Manganese Sulfate and Chromic Chloride. The injection is sold in a multiple dose vial and requires dilution prior to IV use. The pH may be adjusted as needed. The injection contains an antimicrobial preservative and water for injection. The manufacturer is Regent Inc. located in Shirley, NY. The expiration date is not readable in the provided text.*

38cdbd24-figure-01 - multitrace 5 2

38cdbd24-figure-01 - multitrace 5 2

MULTITRACE-5 is a trace element injection that is administered intravenously after dilution. It is supplied in multiple dose vials and contains zinc, copper, manganese, chromium, and selenium. The injection is provided as a sterile, non-pyrogenic solution that is preserved with benzyl alcohol. The pH of the solution may be adjusted using sulfuric acid or sodium hydroxide. It is recommended to store the injection in controlled room temperature between 20°C-25°C (68°F-77°F) with permissible excursions between 15°C-30°C (59°F-86°F). The package insert provides instructions for use. The manufacturer is American Regent, Inc. located in Shirley, NY.*

multitrace 5 3

multitrace 5 3

This is the packaging label for a product or item. It provides the LOT number, EXP (expiration) date, GTIN code, and SN (serial number) details for the product.*

* 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.