Product Images Venlafaxine Hcl ER

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 5 images provide visual information about the product associated with Venlafaxine Hcl ER NDC 80425-0194 by Advanced Rx Pharmacy Of Tennessee, 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.

description - Description

description - Description

Graph 1 - graph 1

Graph 1 - graph 1

This text appears to be a list of drug interactions and their effects on the analyte venlafaxine. The list includes the interacting drugs ethanol, diazepam, cimetidine, ketoconazole, indinavir, metoprolol, imipramine, and lithium. The table provides recommendations for PK Fold Change and 90% CI. The bottom of the text provides recommendations for avoiding concomitant use or using with caution, as well as information on dose adjustment and potential clinical significance.*

Graph 3 - graph 3

Graph 3 - graph 3

This appears to be a table or chart showing recommendations for adjusting doses of the drug venlafaxine based on different factors such as hepatic or renal impairment, age, and gender. It includes specific recommendations for reducing doses by certain percentages and individualizing dosing.*

graph 2 - graphh 2

graph 2 - graphh 2

This is a drug interaction table that lists different drugs and their effects when taken together. The table includes information on the PKFold change and 90% CI recommendation, Cmax, AUC, and recommended actions to take when using the drugs in combination. The drugs listed include ethanol, diazepam, alprazolam, indinavir, metoprolol, risperidone, imipramine, haloperidol, caffeine, tolbutamide, and lithium. The recommendations include avoiding concomitant use, no dose adjustment needed, and using caution and monitoring blood pressure.*

label 1 - label 1

label 1 - label 1

* 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.