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Deterrence effect of penalties upon adolescent cannabis use

Published online by Cambridge University Press:  16 February 2023

Bobby P. Smyth*
Affiliation:
Department of Public Health & Primary Care, Trinity College Dublin, Dublin 2, Ireland
Aoife Davey
Affiliation:
National Drugs Rehabilitation Coordinator, National Social Inclusion Office, Health Service Executive, Palmerstown, Dublin 20, Ireland
Eamon Keenan
Affiliation:
National Clinical Lead for Addiction Services, National Social Inclusion Office, Health Service Executive, Palmerstown, Dublin 20, Ireland
*
Address for correspondence: Bobby Smyth, Adolescent Addiction Service, Bridge House, Cherry Orchard Hospital, Dublin 10, Ireland. Emails: [email protected] & [email protected]
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Abstract

Objective:

Penalties are used in an effort to curtail drug use by citizens in most societies. There are growing calls for a reduction or elimination of such penalties. Deterrence theory suggests that use should increase if penalties reduce and vice versa. We sought to examine the relationship between changes to penalties for drug possession and adolescent cannabis use.

Method:

Ten instances of penalty change occurred in Europe between 2000 and 2014, seven of which involved penalty reduction and three involved penalty increase. We conducted a secondary analysis of a series of cross-sectional surveys of 15–16-year-old school children, the ESPAD surveys, which are conducted every four years. We focused on past month cannabis use. We anticipated that an eight-year time span before and after each penalty change would yield two data points either side of the change. A simple trend line was fitted to the data points for each country.

Results:

In eight cases, the trend slope in past month cannabis use was in the direction predicted by deterrence theory, the two exceptions being the UK policy changes. Using the principals of binomial distributions, the likelihood of this happening by chance is 56/1024 = 0.05. The median change in the baseline prevalence rate was by 21%.

Conclusions:

The science seems far from settled on this issue. There remains a distinct possibility that reducing penalties could contribute to small increases in adolescent cannabis use and consequently increase cannabis-related harms. This possibility should be considered in any political decision-making influencing drug policy changes.

Type
Original Research
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of College of Psychiatrists of Ireland

Introduction

Drug policy is facing very significant international scrutiny at present (Hall, Reference Hall2018). The utility and proportionality of criminal sanctions to deter drug use is being challenged (Godlee & Hurley, Reference Godlee and Hurley2016). It is argued that the severity of the penalty for drug use is not predictive of rates of use. This issue has been a source of debate also in Ireland in the past decade, an expert group recently advising that there should be a move away from criminal convictions and courts and towards health assessment referrals where people are found to be using drugs by An Garda Siochana (Department of Justice, 2019). Given that the current programme for government includes a proposed citizen’s assembly on drug use, this topic is likely to be raised again in future discussions concerning amendments to the Misuse of Drugs Act in Ireland.

This policy issue was addressed in an editorial by Hughes et al. (Reference Hughes, Matias and Griffiths2018) of the influential European Monitoring Centre for Drugs & Drug Addiction (EMCDDA). The authors explored the relationship between changes in the severity of statutory penalties for drug use offences and cannabis use by young adults. Using prevalence data from a variety of national general population surveys, they examined patterns of past year cannabis use before and after the policy change. They considered the impact of modifications made to the penalty regimes in nine instances across seven countries during the period 2000–2014. Deterrence theory suggests that increasing penalties should cause a fall in use and decreasing penalties should cause use to increase (MacCoun et al. Reference MacCoun, Pacula, Chriqui, Harris and Reuter2009; Pacula & Sevigny, Reference Pacula and Sevigny2014). Upon visual inspection of graphs depicting rates of use across time, they found no consistent association to support a deterrence effect. They highlighted a number of caveats and the various methodological limitations of the surveys. Nevertheless, they expressed their hope that their editorial would “encourage legislators to reduce their concern for the effect of the penalty size on use rates” (Hughes et al. Reference Hughes, Matias and Griffiths2018). In making such a strong conclusion, they appear to be indicating to politicians that this is settled science.

In the recent review of global drug policy undertaken by Babor et al. (Reference Babor, Caulkins, Fischer, Foxcroft, Humphreys, Medina-Mora and Babor2018), the conclusions on impact of sanctions were more nuanced. It was stated that “reducing sanctions can affect consumption, but it need not and….. does not seem to produce very large effects.” That review discussed wider aspects of penalty administration beyond simple severity to include immediacy and certainty and emphasised the many challenges of analysing impacts of drug policy changes in real world situations. Such challenges are certainly not unique to assessment of drug policy amendments (Petticrew et al. Reference Petticrew, Shemilt, Lorenc, Marteau, Melendez-Torres, O'Mara-Eves, Stautz and Thomas2017).

With regard to substance use and related policies, health professionals generally have elevated concerns regarding adolescents. Substance use constitutes the biggest single modifiable risk factor for morbidity globally among 15- to 24-year-olds (Gore et al. Reference Gore, Bloem, Patton, Ferguson, Joseph and Coffey2011). Cannabis dependence contributes more to morbidity among adolescents worldwide than that related to any other illicit drug (Degenhardt et al. Reference Degenhardt, Whiteford, Ferrari, Baxter, Charlson and Hall2013). Most adults with cannabis use disorders (CUD) commence cannabis use in adolescence, and early onset of use increases risk for later dependence (Millar et al. Reference Millar, Mongan, Smyth, Perry and Galvin2021; Volkow et al. Reference Volkow, Baler, Compton and Weiss2014; Wilson et al. Reference Wilson, Freeman and Mackie2019). There has been an increase in the numbers of young people-seeking treatment for CUD in Ireland and across Europe (Smyth et al. Reference Smyth, O’Farrell and Daly2019). Cannabis use at an early age is associated with increased likelihood of major mental disorders including psychosis (Di Forti et al. Reference Di Forti, Quattrone, Freeman, Tripoli, Gayer-Anderson and Quigley2019; Murray & Hall, Reference Murray and Hall2020). Many researchers have also highlighted the link between adolescent cannabis use and cognitive impairment (Morin et al. Reference Morin, Afzali, Bourque, Stewart, Seguin, O'Leary-Barrett and Conrod2018; Murray et al. Reference Murray, Quigley, Quattrone, Englund and Di Forti2016; Volkow et al. Reference Volkow, Baler, Compton and Weiss2014; Wilson et al. Reference Wilson, Freeman and Mackie2019). The trend across Europe in the past decade for higher potency cannabis adds to these concerns as this increases risks (Di Forti et al. Reference Di Forti, Quattrone, Freeman, Tripoli, Gayer-Anderson and Quigley2019; EMCDDA, 2019; Wilson et al. Reference Wilson, Freeman and Mackie2019).

The general trend in past month cannabis use by 16-year-olds was quite static across Europe over the period 1999 to 2019, varying between 6 and 8%, peaking in 2003 (ESPAD Group, 2020). It did rise from a low base of 4% in 1995. However, within individual countries there were substantial fluctuations in the prevalence of past month use over this period. Rates of cannabis use are substantially higher in USA, where past month use by 10th grade students over this period has been two to three times higher than that in Europe (ESPAD Group, 2020; Miech et al. Reference Miech, Schulenberg, Johnston, Bachman, O'Malley and Patrick2019).

When contemplating the liberalisation of cannabis policy in North America, Colizzi and Murray (Reference Colizzi and Murray2018) urged caution regarding legislative change and advised that it seems best to observe how harms change there before embarking down the same path. They stated that “the USA and Canada have embarked on a major pharmaceutical experiment with the brains of their youth.” The caution urged by Colizzi and Murray (Reference Colizzi and Murray2018) and the nuanced conclusions from Babor et al. (Reference Babor, Caulkins, Fischer, Foxcroft, Humphreys, Medina-Mora and Babor2018) contrasts with the confidence indicated by Hughes et al. (Reference Hughes, Matias and Griffiths2018) that penalties seem relatively unimportant. Before dismissing any impact of penalties upon use rates, we decided to revisit the penalty change events examined by Hughes et al. (Reference Hughes, Matias and Griffiths2018), but to focus upon adolescents.

Methods

Policy changes in Europe 2000 to 2014

We sought to replicate the methodology of Hughes et al. (Reference Hughes, Matias and Griffiths2018). The EMCDDA identified nine occasions where penalties regarding drug possession were altered in Europe since 2000, penalties increasing in three cases and decreasing in seven cases (EMCDDA, 2017; Hughes et al. Reference Hughes, Matias and Griffiths2018). They excluded Portugal as there was a lack of data on prevalence of adult use prior to the legislative changes in 2001. We sought to include Portugal. The policy changes were heterogeneous in nature and included measures such as reduction or removal of prison sentences, moves away from criminal convictions and towards administrative sanctions, changes to administrative sanction and increased efforts to quickly close cases without formal sanction (EMCDDA, 2017; Benedetti et al. Reference Benedetti, Resce, Brunori and Molinaro2021).

Data source on past month cannabis use by 16-year-olds

We used data from the ESPAD Survey (ESPAD Group, 2020). This survey has been occurring every four years since 1995, the most recent survey being in 2019. It is overseen by EMCDDA. Its purpose is to collect comparable data on the use of cigarettes, alcohol, illicit drugs, inhalants, new psychoactive substances and pharmaceuticals among 15–16-year-olds across Europe. About 700,000 students have participated in the seven successive ESPAD data collection waves thus providing the opportunity to analyse trends over the time period 1995–2019.

The ESPAD methodology has remained consistent over the study period. A questionnaire is self-completed by students in a school setting. The number of participating countries has increased over the years and 35 countries were included in 2019.

We opted to focus on the period eight years either side of the policy change, this providing the opportunity to include prevalence figures from two surveys either side of the policy change, providing four data points for each country. The source data on past month use for all countries was obtained from the latest ESPAD report (ESPAD Group, 2020). Where a data point was missing, we looked back at previous ESPAD reports to identify if a prevalence rate was recorded.

Analysis

With limited data for each country, we planned to conduct a visual inspection of trends in keeping with the approach used by Hughes et al. (Reference Hughes, Matias and Griffiths2018). There were insufficient data points to conduct any gold standard examination of change in the individual countries such as interrupted time-series analysis. Data points were anchored around the year of policy change (year zero) in each case.

Results

Upon visual inspection, it appeared that many of the graphs were consistent with the anticipated deterrence effect. In order to provide some objectivity to these judgements, we then decided to fit a simple best-fitting linear trend line to the data for each country. The equation for the trend line gave a slope, which was either upwards (i.e. a positive slope) or downwards (a negative slope). This then allowed countries to be placed into a dichotomous category of either increased use or decreased use across the 16-year period around the policy change. We then compared the observed direction of the slope with that which would be predicted by a real deterrence effect. For example, a downward or negative slope following an increase in penalty would be consistent with a deterrence effect.

In six out of the seven instances where penalties were reduced, the trend line revealed an upward slope indicating increased use. In two out of three cases where penalties were increased, the slope was downwards indicating reduction in prevalence (see Table 1). Therefore, in eight out of ten cases, the slope of the trend line was consistent with deterrence theory.

Table 1. Past month cannabis use among 15-16 year olds before and after changes to penalties for personal drug use

a Only one data point available for this time period.

We then used the principals of binomial distributions to determine how likely this was to happen by chance. For a single policy change, the odds of it being consistent with deterrence theory by chance are 0.5. Therefore, the likelihood that eight out of ten policy changes would coincide with a slope change consistent with deterrence theory by chance is 56/1024 = 0.05. The two cases where the trend was not consistent with the deterrence theory were both in the UK. To estimate the magnitude of change, either side of the policy change, we compared the average prevalence in the surveys prior to the policy change with the average in the ESPAD surveys after the change (see Table 1). Across all 10 events, the median change in the baseline prevalence was 21%, the largest increase (75%) occurring in Portugal.

If more conservative inclusion criteria are used requiring two prevalence data points on either side of the policy change, then eight events are included. UK policy flip-flopped within a 5-year period, initially becoming more liberal before reverting back to a stricter approach, and the UK has not participated in recent ESPAD surveys. In all eight cases with complete data, the findings are consistent with a deterrence effect (p = [0.5]8 = 0.004). Figure 1 presents the data points and trend lines from those eight events. The median trend change in the actual past month prevalence rate across those eight events moving from a stricter regime to a more lax regime, or vice versa, was 0.16% per year, or 1.6% per decade.

Figure 1. Trend changes in past month cannabis use by 15–16-year-olds, eight years either side of changes to penalties for personal drug use.

Discussion

While our findings come with multiple caveats, they appear to challenge the view that penalties for personal drug use have no material deterrent effect upon cannabis use among European adolescents. The very simple trend analysis undertaken was consistent with a deterrence effect in every instance of policy change apart from the two legislative changes in the UK, which were made in quick succession permitting only one data point between the two changes. We had a full dataset for Poland, Portugal, Slovakia, Bulgaria, Finland, Denmark and both instances of policy change in Italy. In all eight of these cases of penalty amendments, the direction of change in adolescent cannabis use coincided with that which is predicted by deterrence theory. The range of countries included is culturally diverse.

There is a strong case that primary prevention initiatives should focus on adolescents. Key goals for all societies should be to minimise the proportion of adolescents who try cannabis and especially to limit the proportion of those who go on to use regularly (Di Forti et al. Reference Di Forti, Quattrone, Freeman, Tripoli, Gayer-Anderson and Quigley2019; Volkow et al. Reference Volkow, Baler, Compton and Weiss2014). Our analysis focuses on past month use among 16-year-olds, indicating current use. This group constitute an extremely important group from a population health perspective, based upon the known hazards of adolescent cannabis use (Colizzi & Murray, Reference Colizzi and Murray2018; Murray & Hall, Reference Murray and Hall2020; Volkow et al. Reference Volkow, Baler, Compton and Weiss2014; Wilson et al. Reference Wilson, Freeman and Mackie2019). There is emerging evidence that even minimal cannabis use around this vulnerable stage of brain development may result in measurable alterations in brain morphology (Orr et al. Reference Orr, Spechler, Cao, Albaugh, Chaarani and Mackey2019; Albaugh et al. Reference Albaugh, Ottino-Gonzalez, Sidwell, Lepage, Juliano and Owens2021). The trends found in this study suggested a possible 1.6% increase in the prevalence of monthly cannabis use over a decade. If this was to occur across Europe, it would mean an increase of 16,000 in the number of 16-year-olds using cannabis on a monthly basis. Even a small increase in prevalence carries risk of significant adverse public health impact given the large population involved (Smyth et al. Reference Smyth, Cannon, Molodynski, Curran, Eastwood and Winstock2020).

Our observations come with most of the methodological cautions already highlighted by others (Babor et al. Reference Babor, Caulkins, Fischer, Foxcroft, Humphreys, Medina-Mora and Babor2018; Hughes et al. Reference Hughes, Matias and Griffiths2018). In reality, both the analysis by Hughes et al. (Reference Hughes, Matias and Griffiths2018) and this study can be viewed as an examination of a case series of countries. Both studies have failed to use a control group of countries. Given the small number of countries available and the relatively small effect anticipated, it is very unlikely that use of control countries with this methodology would have adequate statistical power to detect impacts. The changes to penalty regimes were heterogeneous (EMCDDA, 2017). Unlike the examination of adult use by Hughes et al. (Reference Hughes, Matias and Griffiths2018), a strength of our analysis is that it draws data from a single survey conducted consistently across Europe over a 24-year period (ESPAD Group, 2020). The inclusion of instances of increased penalties as well as penalty reductions constitutes a methodological strength.

Ideally, each country would have had multiple data points either side of the policy change to permit examination of slope and step changes. ESPAD generates estimates of population prevalence each of which has its own margin of error. Fitting a trend line is an unsophisticated method of determining a trend. Even in instances where we had four data points it is unlikely that the slope was significantly different to zero in any one case. There are also a multitude of social, cultural and economic factors which may influence rates of adolescent cannabis use over time (Babor et al. Reference Babor, Caulkins, Fischer, Foxcroft, Humphreys, Medina-Mora and Babor2018). Where penalty changes occur, the general public can often remain oblivious to these alterations (Babor et al. Reference Babor, Caulkins, Fischer, Foxcroft, Humphreys, Medina-Mora and Babor2018). All of these methodological issues serve to increase the likelihood that a real but small deterrent effect would be missed in this and indeed in all other examinations of this issue.

If not a deterrent effect, it is difficult to explain the observed pattern of changes across these diverse European countries. Perhaps the societal discourse which occurs in and around revisions to penalties has an influence upon use, rather than the penalty per se. One advantage of use of trend line to explore change relates to fact that there is an increasing view that these policy changes are best viewed as a protracted process rather than as a singular event (Smyth & Cannon, Reference Smyth and Cannon2021; Babor et al. Reference Babor, Caulkins, Fischer, Foxcroft, Humphreys, Medina-Mora and Babor2018). As seen in Ireland during the course of the recent debate on decriminalisation, there tends to be a prolonged period of intensive discussion across media, prior to and following a policy change and this discourse may well also have an impact on use and non-use decisions by youth.

Researchers seem to agree that it is difficult to draw any real conclusions from the US data on this issue (Choo & Emery, Reference Choo and Emery2017; Pacula & Sevigny, Reference Pacula and Sevigny2014). In a large Australian study, which has been assessed as having a very low risk of bias, it was found that prevalence of use increased by 12% from baseline after decriminalisation (Williams & Bretteville-Jensen, Reference Williams and Bretteville-Jensen2014). A recent attempted meta-analysis of this question determined that the current literature was too heterogeneous to permit statistical analysis (Melchior et al. Reference Melchior, Nakamura, Bolze, Hausfater, El Khoury, Mary-Krause and Azevedo Da Silva2019). A very recent European study, which utilised a difference-in-difference methodology, reported significant impacts of both relaxation and strengthening of drug laws upon adolescent cannabis use, these findings again being consistent with deterrence theory (Benedetti et al. Reference Benedetti, Resce, Brunori and Molinaro2021).

A limitation of our study and most other purported examinations of deterrence effects upon drug policies has been a focus limited to penalty severity, this being just one component of deterrence theory (Babor et al. Reference Babor, Caulkins, Fischer, Foxcroft, Humphreys, Medina-Mora and Babor2018; Hughes et al. Reference Hughes, Matias and Griffiths2018; Watson et al. Reference Watson, Siskind, Fleiter, Watson and Soole2015). The three key elements of deterrence theory hypothesise that immediacy, certainty and severity of penalty are each important in deterring people from engaging in a penalised behaviour (Taxman & Piquero, Reference Taxman and Piquero1998). A less severe penalty which is rapidly and reliably enforced may have more impact than a harsh penalty which is inconsistently and slowly enforced (Babor et al. Reference Babor, Caulkins, Fischer, Foxcroft, Humphreys, Medina-Mora and Babor2018). Deterrence theory principals seem broadly accepted in other areas of public health such as efforts to reduce morbidity and mortality related to high-risk driving behaviours (Watson et al. Reference Watson, Siskind, Fleiter, Watson and Soole2015).

There is some evidence from other areas of legislative change that youth alter their attitudes and behaviour more rapidly than older adults (Kotsadam & Jakobsson, Reference Kotsadam and Jakobsson2011; Svallfors, Reference Svallfors2010). In that Norwegian example, younger people changed more in the conservative direction sought by the law change than older people. It was posited by the authors that “that those with fewer previous formative experiences in need of reconsideration are more prone to internalise legal norms”. A reduction of penalties for cannabis use may in theory lead to increased normalisation of use by more teenagers and greater use (Napper et al. Reference Napper, Kenney, Hummer, Fiorot and LaBrie2016; Sznitman & Taubman, Reference Sznitman and Taubman2016).

The influence of legal factors upon drug use decisions has been demonstrated in students, who reported its criminalised status as a reason for avoiding use in separate Canadian, US and Irish studies (Hathaway et al. Reference Hathaway, Mostaghim, Kolar, Erickson and Osborne2016; Martz et al. Reference Martz, Schulenberg and Patrick2018; Byrne et al. Reference Byrne, Dick, Ryan, Dockray, Davoren, Heavin, Ivers, Linehan and Vasiliou2022). An Australian survey found that the criminalisation of cannabis use was identified as a factor in decisions to avoid or reduce use, these impacts being more prominent in young frequent users (Weatherburn et al. Reference Weatherburn, Jones and Donnelly2003). These studies suggest that some young people do factor aversive consequences into their drug use and non-use decisions. We do not know if these effects vary by gender or socio-economic group.

A significant challenge for public health science is the translation of evidence into political action and policy change in the real world. Public health advocates in domains such as tobacco control, alcohol-induced harm, gun-related injuries and road safety frequently argue for more robust legislation and greater criminal justice involvement (Babor et al. Reference Babor, Casswell, Graham, Huckle, Livingston and Österberg2022; Mann & Michel, Reference Mann and Michel2016; WHO, 2020). Efforts are made to persuade wary politicians and a sceptical public that laws, restrictions and penalties do indeed constitute effective tools as part of multifaceted responses to tackle harms. We were again reminded of the positive role of the criminal justice system in public health during the recent COVID pandemic where we witnessed use of legislative powers and An Garda Síochána to incentivise adherence to public health advice (Eustace et al. Reference Eustace, Hamill and Mulligan2021). The international discourse around drug policy appears to stand alone in increasingly presenting arguments that laws and penalties matter very little in influencing healthy decision making.

Overall, we argue that it is premature to dismiss the impact of penalties upon adolescent cannabis use. The science is not settled yet. There remains a distinct possibility that a reduction or removal of penalties could contribute to increased use and this could in turn cause an increase in adolescent cannabis use disorders and cannabis-related health harms. Legislators should keep this in mind when contemplating alterations to penalties for personal drug use.

Financial support

This research received no specific grant from any funding agency, commercial or not-for-profit sectors. The opinions and views expressed in this manuscript are those of the authors and may not reflect the views of their employers.

Conflicts of interest

None.

Ethical standards

The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant national and institutional committee on human experimentation with the Helsinki Declaration of 1975, as revised in 2008. The authors assert that ethical approval for publication of this study was not required by their local Ethics Committee.

References

Albaugh, MD, Ottino-Gonzalez, J, Sidwell, A, Lepage, C, Juliano, A, Owens, MM, et al. (2021). Association of cannabis use during adolescence with neurodevelopment. JAMA Psychiatry 78, 10311040.CrossRefGoogle ScholarPubMed
Babor, T, Casswell, S, Graham, K, Huckle, T, Livingston, M, Österberg, E, et al. (2022). Alcohol: No Ordinary Commodity: Research and Public Policy. Oxford University Press: Oxford, UK.CrossRefGoogle Scholar
Babor, T, Caulkins, JP, Fischer, B, Foxcroft, D, Humphreys, K, Medina-Mora, ME, et al. (2018). Criminalization and decriminalization of drug possession. In Drug Policy and the Public Good (ed. (2nd ed.), Babor, T, Oxford University Press: Oxford, UK.CrossRefGoogle Scholar
Benedetti, E, Resce, G, Brunori, P, Molinaro, S (2021). Cannabis policy changes and adolescent cannabis use: evidence from Europe. International Journal of Environmental Research and Public Health 18, 5174.CrossRefGoogle ScholarPubMed
Byrne, M, Dick, S, Ryan, L, Dockray, S, Davoren, M, Heavin, C, Ivers, JH, Linehan, C, Vasiliou, V (2022). The Drug Use in Higher Education in Ireland (DUHEI) Survey 2021: Main Findings. University College Cork: Cork, https://www.duhei.ie/DUHEI21 Google Scholar
Choo, EK, Emery, SL (2017). Clearing the haze: the complexities and challenges of research on state marijuana laws. Annals of the New York Academy of Sciences 1394, 5573 DOI 10.1111/nyas.13093.CrossRefGoogle ScholarPubMed
Colizzi, M, Murray, R (2018). Cannabis and psychosis: what do we know and what should we do? The British Journal of Psychiatry 212, 195196 DOI 10.1192/bjp.2018.1.CrossRefGoogle Scholar
Degenhardt, L, Whiteford, HA, Ferrari, AJ, Baxter, AJ, Charlson, FJ, Hall, WD, et al. (2013). Global burden of disease attributable to illicit drug use and dependence: findings from the Global Burden of Disease Study 2010. The Lancet 382, 15641574 DOI 10.1016/S0140-6736(13)61530-5.CrossRefGoogle ScholarPubMed
Department of Justice. (2019). Report of the Working group to consider alternative appraches to the posession of drugs for personal use. Available at: https://www.gov.ie/en/publication/7ccdec-the-working-group-to-consider-alternative-approaches-to-the-possessi/.Google Scholar
Di Forti, M, Quattrone, D, Freeman, TP, Tripoli, G, Gayer-Anderson, C, Quigley, H, et al. (2019). The contribution of cannabis use to variation in the incidence of psychotic disorder across Europe (EU-GEI): a multicentre case-control study. The Lancet Psychiatry.CrossRefGoogle ScholarPubMed
EMCDDA (2017). Cannabis Legislation in Europe: An Overview. Publications Office of the European Union: Luxembourg.Google Scholar
EMCDDA (2019). European Drug Report 2019: Trends and Developments. Office for Official Publications of the European Communities: Luxembourg.Google Scholar
ESPAD Group (2020). ESPAD Report 2019: Additional Tables. Publications Office of the European Union: Luxembourg,Google Scholar
Eustace, A, Hamill, S, Mulligan, A (2021). Public Health Law During the COVID-19 Pandemic in Ireland. School of Law: Trinity College Dublin, https://www.tcd.ie/law/2020.21/COVID-19%20Public%20Health%20Law%20Report.pdf.Google Scholar
Godlee, F, Hurley, R (2016). The war on drugs has failed: doctors should lead calls for drug policy reform. BMJ 355, i6067.CrossRefGoogle Scholar
Gore, FM, Bloem, PJN, Patton, GC, Ferguson, J, Joseph, V, Coffey, C, et al. (2011). Global burden of disease in young people aged 10-24 years: a systematic analysis. The Lancet 377, 20932102 DOI 10.1016/S0140-6736(11)60512-6.CrossRefGoogle Scholar
Hall, W (2018). The future of the international drug control system and national drug prohibitions. Addiction 113, 12101223 DOI 10.1111/add.13941.CrossRefGoogle ScholarPubMed
Hathaway, A, Mostaghim, A, Kolar, K, Erickson, PG, Osborne, G (2016). A nuanced view of normalisation: attitudes of cannabis non-users in a study of undergraduate students at three Canadian universities. Drugs: Education, Prevention and Policy 23, 238246.Google Scholar
Hughes, B, Matias, J, Griffiths, P (2018). Inconsistencies in the assumptions linking punitive sanctions and use of cannabis and new psychoactive substances in Europe. Addiction 113, 21552157 DOI 10.1111/add.14372.CrossRefGoogle ScholarPubMed
Kotsadam, A, Jakobsson, N (2011). Do laws affect attitudes? An assessment of the Norwegian prostitution law using longitudinal data. International Review of Law and Economics 31, 103115.CrossRefGoogle Scholar
MacCoun, R, Pacula, RL, Chriqui, J, Harris, K, Reuter, P (2009). Do citizens know whether their state has decriminalized marijuana? Assessing the perceptual component of deterrence theory. Review of Law & Economics 5, 347371.CrossRefGoogle Scholar
Mann, JJ, Michel, CA (2016). Prevention of firearm suicide in the United States: what works and what is possible. American Journal of Psychiatry 173, 969979 DOI 10.1176/appi.ajp.2016.16010069.CrossRefGoogle ScholarPubMed
Martz, ME, Schulenberg, JE, Patrick, ME (2018). Passing on pot: high school seniors’ reasons for not using marijuana as predictors of future use. Journal of Studies on Alcohol and Drugs 79, 761769 DOI 10.15288/jsad.2018.79.761.CrossRefGoogle Scholar
Melchior, M, Nakamura, A, Bolze, C, Hausfater, F, El Khoury, F, Mary-Krause, M, Azevedo Da Silva, M (2019). Does liberalisation of cannabis policy influence levels of use in adolescents and young adults? A systematic review and meta-analysis. BMJ Open 9, e025880 DOI 10.1136/bmjopen-2018-025880.CrossRefGoogle Scholar
Miech, RA, Schulenberg, JE, Johnston, LD, Bachman, JG, O'Malley, PM, Patrick, ME (2019). "National Adolescent Drug Trends in 2019: Findings Released" Monitoring the Future: Ann Arbor, MI, http://monitoringthefuture.org/data/19data.html#2019data-drugs Google Scholar
Millar, SR, Mongan, D, Smyth, BP, Perry, IJ, Galvin, B (2021). Relationships between age at first substance use and persistence of cannabis use and cannabis use disorder. BMC Public Health 21, 111.CrossRefGoogle ScholarPubMed
Morin, JG, Afzali, MH, Bourque, J, Stewart, SH, Seguin, JR, O'Leary-Barrett, M, Conrod, PJ (2018). A population-based analysis of the relationship between substance use and adolescent cognitive development. American Journal of Psychiatry 176, 98106 DOI 10.1176/appi.ajp.2018.18020202.CrossRefGoogle ScholarPubMed
Murray, RM, Hall, W (2020). Will legalization and commercialization of cannabis use increase the incidence and prevalence of psychosis? JAMA Psychiatry 77, 777 DOI 10.1001/jamapsychiatry.2020.0339.CrossRefGoogle ScholarPubMed
Murray, RM, Quigley, H, Quattrone, D, Englund, A, Di Forti, M (2016). Traditional marijuana, high-potency cannabis and synthetic cannabinoids: increasing risk for psychosis. World Psychiatry 15, 195204 DOI 10.1002/wps.20341.CrossRefGoogle ScholarPubMed
Napper, LE, Kenney, SR, Hummer, JF, Fiorot, S, LaBrie, JW (2016). Longitudinal relationships among perceived injunctive and descriptive norms and marijuana use. Journal of Studies on Alcohol and Drugs 77, 457463 DOI 10.15288/jsad.2016.77.457.CrossRefGoogle ScholarPubMed
Orr, C, Spechler, P, Cao, Z, Albaugh, M, Chaarani, B, Mackey, S, et al. (2019). Grey matter volume differences associated with extremely low levels of cannabis use in adolescence. Journal of Neuroscience 39, 18171827.CrossRefGoogle ScholarPubMed
Pacula, RL, Sevigny, EL (2014). Marijuana liberalization policies: why we can't learn much from policy still in motion. Journal of Policy Analysis and Management 33, 212221.CrossRefGoogle ScholarPubMed
Petticrew, M, Shemilt, I, Lorenc, T, Marteau, TM, Melendez-Torres, GJ, O'Mara-Eves, A, Stautz, K, Thomas, J (2017). Alcohol advertising and public health: systems perspectives versus narrow perspectives. Journal of Epidemiology and Community Health 71, 308312 DOI 10.1136/jech-2016-207644.CrossRefGoogle Scholar
Smyth, BP, O’Farrell, A, Daly, A (2019). Cannabis use and associated health problems – what’s the harm? Irish Medical Journal 112, 1000.Google ScholarPubMed
Smyth, BP, Cannon, M, Molodynski, A, Curran, HV, Eastwood, N, Winstock, AR (2020). Would decriminalising personal use of cannabis lead to higher rates of mental illness? BMJ 368, l6975.CrossRefGoogle ScholarPubMed
Smyth, BP, Cannon, M (2021). Cannabis legalization and adolescent cannabis use: explanation of paradoxical findings. Journal of Adolescent Health 69, 1415.CrossRefGoogle ScholarPubMed
Svallfors, S (2010). Policy feedback, generational replacement, and attitudes to state intervention: Eastern and Western Germany, 1990-2006. European Political Science Review 2, 119135.CrossRefGoogle Scholar
Sznitman, SR, Taubman, DS (2016). Drug use normalization: a systematic and critical mixed-methods review. Journal of Studies on Alcohol and Drugs 77, 700709 DOI 10.15288/jsad.2016.77.700.CrossRefGoogle ScholarPubMed
Taxman, FS, Piquero, A (1998). On preventing drunk driving recidivism: an examination of rehabilitation and punishment approaches. Journal of Criminal Justice 26, 129143.CrossRefGoogle Scholar
Volkow, ND, Baler, RD, Compton, WM, Weiss, SR (2014). Adverse health effects of marijuana use. New England Journal of Medicine 370, 22192227.CrossRefGoogle ScholarPubMed
Watson, B, Siskind, V, Fleiter, JJ, Watson, A, Soole, D (2015). Assessing specific deterrence effects of increased speeding penalties using four measures of recidivism. Accident Analysis & Prevention 84, 2737 DOI 10.1016/j.aap.2015.08.006.CrossRefGoogle ScholarPubMed
Weatherburn, D, Jones, C, Donnelly, N (2003). Prohibition and cannabis use in Australia: a survey of 18- to 29-year-olds. Australian & New Zealand Journal of Criminology 36, 7793 DOI 10.1375/acri.36.1.77.CrossRefGoogle Scholar
WHO (2020). European regional status report on road safety 2019. WHO Regional Office for Europe: Copenhagen.Google Scholar
Williams, J, Bretteville-Jensen, AL (2014). Does liberalizing cannabis laws increase cannabis use? Journal of Health Economics 36, 2032 DOI 10.1016/j.jhealeco.2014.03.006.CrossRefGoogle ScholarPubMed
Wilson, J, Freeman, TP, Mackie, CJ (2019). Effects of increasing cannabis potency on adolescent health. The Lancet Child & Adolescent Health 3, 121128 DOI 10.1016/s2352-4642(18)30342-0.CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Past month cannabis use among 15-16 year olds before and after changes to penalties for personal drug use

Figure 1

Figure 1. Trend changes in past month cannabis use by 15–16-year-olds, eight years either side of changes to penalties for personal drug use.