Product Images Thiamine

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Thiamine NDC 63323-013 by Fresenius Kabi Usa, 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.

structure - thi05 0001 01

structure - thi05 0001 01

logo - thi05 0001 02

logo - thi05 0001 02

PACKAGE LABEL – PRINCIPAL DISPLAY PANEL - Thiamine 2 mL Multiple Dose Vial Label - thi05 0001 03

PACKAGE LABEL – PRINCIPAL DISPLAY PANEL - Thiamine 2 mL Multiple Dose Vial Label - thi05 0001 03

Thiamine HCI Injection is a prescription drug available in a multiple-dose vial containing 200 mg per 2 mL or 100 mg per mL of Thiamine HCI for intramuscular or intravenous use. It is manufactured by Fresenius Kabi and should be protected from light. The drug is identified by National Drug Code (NDC) 63323-013-41 and PRX1302 which is also printed as LOT/EXP 7403132A. No further information is available.*

PACKAGE LABEL – PRINCIPAL DISPLAY PANEL – Thiamine 2 mL Multiple Dose Vial Tray Label - thi05 0001 04

PACKAGE LABEL – PRINCIPAL DISPLAY PANEL – Thiamine 2 mL Multiple Dose Vial Tray Label - thi05 0001 04

This is a description of an injectable solution of Thiamine HCI with chlorobutanol anhydrous, a chloral derivative, and monothioglycerol in water for injection. The solution is sterile, and each milliliter of the solution contains 100 mg of Thiamine HCI. The solution may also contain sodium hydroxide for pH adjustment and no more than 400 mcg/L of aluminum. It is intended for intramuscular or intravenous use, and dosage information should be obtained from the package insert. The solution should be stored between 20-25°C and protected from light. The solution is manufactured by Kabi in Lake Zurich, IL, and is sold in multiple dose vials.*

* 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.