Product Images Flumazenil

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 6 images provide visual information about the product associated with Flumazenil NDC 51662-1253 by Hf Acquisition Co. Llc, Dba Health First, 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.

Vial - 10 mL Vial Label

Vial - 10 mL Vial Label

Serialized Label - 51662 1253 1 Flumazenil 10 Serialized Label

Serialized Label - 51662 1253 1 Flumazenil 10 Serialized Label

Tabel - Clinica Pharma Tabel

Tabel - Clinica Pharma Tabel

This is data on pharmacokinetics and describes the concentration of a drug in the body after it has been administered. The values include Cmax (maximum concentration achieved), AUC (area under the concentration curve), Vss (volume of distribution at steady state), €l (elimination rate constant), and half-life. The percentages in parentheses likely indicate the coefficient of variation of the parameter.*

Chart - Clinical Pharma Chart

Chart - Clinical Pharma Chart

The text describes a study that examined the magnitude and duration of reversal of sedation caused by midazolam infusion in healthy volunteers as a function of flumazenil dose. Flumazenil doses of 0.2mg, 0.6mg, and 1mg were administered and blood levels were measured at different time intervals. The study aimed to determine the effectiveness of flumazenil for reversing the sedative effects of midazolam.*

Structure - Structure

Structure - Structure

Warning Box - Warnings Box

Warning Box - Warnings Box

Flumazenil usage can lead to seizures, particularly in patients who have been using benzodiazepines for sedation for an extended period, or in overdose cases with signs of cyclic antidepressant overdose. Dosage of Flumazenil should be personalized, and practitioners must be ready to manage seizures.*

* 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.