Product Images Ultiva

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 6 images provide visual information about the product associated with Ultiva NDC 67457-912 by Mylan Institutional 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.

Remifentanil Hydrochloride Structural Formula - image 01

Remifentanil Hydrochloride Structural Formula - image 01

Figure 1: Recovery of Respiratory Drive After Equipotent* Doses of ULTIVA and Alfentanil Using CO2-Stimulated Minute Ventilation in Adult Volunteers (±1.5 SEM) - image 02

Figure 1: Recovery of Respiratory Drive After Equipotent* Doses of ULTIVA and Alfentanil Using CO2-Stimulated Minute Ventilation in Adult Volunteers (±1.5 SEM) - image 02

Figure 2: Mean Concentration (sd) versus Time - image 03

Figure 2: Mean Concentration (sd) versus Time - image 03

The text seems to represent a table containing two drugs, Alentril and ULTVA, and their respective doses measured in units of milligrams per minute. The table also includes a graph with time in minutes on the x-axis and dosage on the y-axis. However, the table and graph are incomplete and the context is not available, so a more specific description cannot be provided.*

Ultiva Injection 1 mg Carton Label - image 04

Ultiva Injection 1 mg Carton Label - image 04

Ultiva Remifentanil HCL for Injection is an intravenous medication that is recommended to be administered at a concentration of 25,50, or 50 g/l. The package of Ultiva Remifentanil HCL for Injection contains 10x1mgSingle Doelials, and it is intended for intravenous use only. Any other information could not be retrieved as the text is unclear.*

Ultiva Injection 2 mg Carton Label - image 05

Ultiva Injection 2 mg Carton Label - image 05

Ultiva Injection 5 mg Carton Label - image 06

Ultiva Injection 5 mg Carton Label - image 06

* 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.