Product Images Venlafaxine Hydrochloride
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 5 images provide visual information about the product associated with Venlafaxine Hydrochloride NDC 70518-4066 by Remedyrepack 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.
Remedy_Label - Remedy Label
This is information about Venlafaxine HCI Extended-Release 75 mg capsules, with a quantity of 30 capsules per package. The prescription medication is available in a bottle with a National Drug Code (NDC) number of 70518-4066-00, and manufacturer is Zydus Pharm located in Pennington, NJ. It is crucial to keep this medication out of children's reach and store it within the recommended temperature range of 20-25°C (58-77°F). Direction for use can be found in the package insert. This information is essential for proper usage and storage of the medication.*
Image - eb320e98 85d0 421f 963d 825fb8e3c621 01
Image - eb320e98 85d0 421f 963d 825fb8e3c621 02
Image - eb320e98 85d0 421f 963d 825fb8e3c621 03
This is a list of drugs and interacting factors such as Ethanol, Diazepam, Cimetidine, Ketoconazole, among others. It also contains various versions of the drug name Venlafaxine. The text seems to include references to CYP enzymes and fold changes with 90% confidence intervals.*
Image - eb320e98 85d0 421f 963d 825fb8e3c621 04
The text provides a list of interacting drugs such as Diazepam, Alprazolam, Risperidone, Imipramine, Haloperidol, Tolbutamide, and Lithium along with analytes like ethanol and active moieties. It also includes pharmacokinetic parameters like Cmax and AUC as well as fold change values with 90% confidence interval. This information could be useful for evaluating drug interactions and understanding the impact on pharmacokinetics.*
* 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.