Product Images Argatroban
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 6 images provide visual information about the product associated with Argatroban NDC 42023-182 by Par Pharmaceutical, 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 - argatroban injection 1
Figure 1 - argatroban injection 2
This is a medication prescription indicating the recommended infusion dose of a drug in micrograms per kilogram per minute. The recommended dose is 4 mcg/kg/min followed by 2 mcg/kg/min.*
Figure 2 - argatroban injection 3
This is a comparison chart for medications relating to the treatment of blood clots. The chart provides information about using warfarin and argatroban together (INR Warfarin Plus Argatroban) versus using warfarin alone (INR Warfarin Alone). However, the chart is incomplete and the purpose of the medications is not further elaborated.*
Figure 3 - argatroban injection 4
Figure 4 - argatroban injection 5
This text presents the number of participants (N) and censored cases for a drug called Argatroban (144 participants, 61 censored cases) and a historical control group (46 participants, 20 censored cases). It also shows a P value of 0.018 which may be significant for the study.*
Carton - argatroban injection 6
This is a description of Argatroban Injection used for IV only. The drug is available in a Dilute before use 25 mL vial and contains Argatroban, D-sorbitol and Dehydrated Alcohol. It is recommended to not use if the solution is cloudy or contains a precipitate, and should not be frozen but stored between 20 to 25°C. Dilution and adult dosage should be followed as per prescribing information. The label also includes the NDC number and expiration date can be found at the bottom of the carton.*
* 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.