Abuse liability of dextromethorphan and its combinatory formulation dextromethorphan/bupropion: a pharmacologic perspective
Bibliographic record
Abstract
INTRODUCTION: Dextromethorphan/Buproprion (DXM/BUP) has received breakthrough FDA approval in August 2022 as a rapid-acting antidepressant. DXM/BUP is a noncompetitive N-methyl-D-aspartate (NMDA) receptor antagonist and sigma-1 receptor agonist, with bupropion (BUP), a norepinephrine/dopamine reuptake inhibitor and cytochrome P450 2D6 (CYP2D6) inhibitor. As DXM/BUP moves closer to widespread clinical use for MDD, examining whether the combination does or does not carry meaningful abuse liability is essential given that DXM alone has long been misused, likely attributed to its metabolism into the psychoactive metabolite DXO. AREAS COVERED: We discuss the pharmacodynamics and pharmacokinetics of DXM and its primary active metabolite, dextrorphan (DXO). We then highlight the abuse potential of DXM when administered alone. Additionally, we present preclinical, clinical, and pharmacovigilance findings that support the reduced abuse liability of DXM/BUP. EXPERT OPINION: The formulation demonstrates clinically meaningful improvement within one week of its initiation. Given its safety and efficacy, alongside its novelty, this glutamatergic modulator represents a promising candidate for approval across global jurisdictions and regions. Future research should examine DXM/BUP's potential efficacy in bipolar depression and trauma-associated MDD, populations exhibiting refractory responses to conventional antidepressants and in need of an alternative, mechanistically distinct therapeutic.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".