Product Images Venlafaxine Hydrochloride
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Product Label Images
The following 5 images provide visual information about the product associated with Venlafaxine Hydrochloride NDC 71335-1642 by Bryant Ranch Prepack, 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.
Label Image - lbl713351642
This is a description of the medication Venlafaxine ER 150mg Capsule which is packaged by Bryant Ranck Prepack Bunbauk. This medication is an opaque dark orange capsule that is stored at a room temperature of 20°-25°C (68°-77°F). The drug is to be kept out of reach of children, kept tightly closed and is compared to Effexor XR 150mg Capsule. The manufacturer of this medication is Aurobindo Pharma Limited, and the package contains 6 capsules with an expiration date of MM/YY. The NDC number for this medication is 7133516421.*
Figure 1: Effect of interacting drugs on the pharmacokinetics of venlafaxine and active metabolite O-desmethylvenlafaxine (ODV). - venlafaxine fig1
This is a report on an interacting drug called "cimetane" which affects the analyte "aniatxine" and two related compounds, "veniatxine" and "venistaxing". The report provides PK fold change and 90% confidence intervals recommendations on the maximum value and concentration of the drug, cautioning against use in patients with hypertension or hepatic dysfunction. The report notes unknown clinical significance of some of the changes and recommends caution in use and monitoring blood pressure. No information is available on the relative change to any reference value.*
Figure 2: Effect of venlafaxine on the pharmacokinetics interacting drugs and their active metabolites. - venlafaxine fig2
Figure 3: Pharmacokinetics of venlafaxine and its metabolite O-desmethylvenlafaxine (ODV) in special populations. - venlafaxine fig3
Chemical Structure - venlafaxine str
* 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.